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86%Must read

Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm

Video generation enables unified multimodal reasoning via Sora-2, which matches vision-language models and exceeds GPT-5 on spatial tasks while scoring 92% on MATH.

Jingqi Tong, Yurong Mou, Hangcheng Li, Mingzhe Li and 10 more

Published Nov 6, 2025 · 0 citations · ▲ 242 on Hugging Face · Code ★ 319

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83%Must read

The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy Distillation

RIDE extrapolates RL-induced representation residuals for stable on-policy distillation, surpassing output-space methods and matching or exceeding RL teachers.

Hao Li, Meijia Chen, Weijie Ren, Donghan Li and 3 more

Published Sep 29, 2026 · 0 citations · ▲ 577 on Hugging Face · Code ★ 6

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89%Must read

Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution

On-policy power distillation trains models to generate sharpened answers directly, improving single-sample math reasoning by up to 27.3 points and outperforming multi-candidate sampling and reward-based methods.

Erfan Baghaei Potraghloo, Seyedarmin Azizi, Arya Fayyazi, Saeid Shokoufa and 3 more

Published Oct 5, 2026 · ▲ 4 on Hugging Face · Code ★ 1

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86%Must read

Adaptive Fused Prior Transfer for Controllable Generative Image Compression

AFP-GIC transfers adaptive fused priors from a frozen pretrained model to guide generative compression without transmitting them, reducing decoder latency and parameters while improving very-low-bitrate naturalness.

Yifei Pei, Ying Liu, Nam Ling

Published May 16, 2026 · ▲ 4 on Hugging Face · Code ★ 4

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89%Must read

Certification of Real Images through Calibrated Content Authentication

Deepfake detectors degrade to 76% accuracy and near-zero under attacks, so calibrated reconstruction-based authentication bounds false real-image certification to 1%.

Sarim Hashmi, Abdelrahman Elsayed, Mohammed Talha Alam, Samuele Poppi and 1 more

Published Oct 5, 2026 · ▲ 13 on Hugging Face · Code ★ 2

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76%Highly rated
ICLR 2027Tabular data

Adapting prior-data fitted networks for tabular anomaly detection

Frozen and fine-tuned TabPFN representations for tabular anomaly detection yield ZEN and FOCUS, surpassing all ADBench baselines in AUROC despite unsupervised deployment and contaminated reference sets.

Maximilian Bershtman, Niv Cohen

Published Oct 5, 2026 · ▲ 5 on Hugging Face · Code ★ 1

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91%Must read

Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency

LoHi trades per-frame resolution for denser temporal sampling via low-resolution streams plus sparse high-resolution frames, boosting long-video accuracy up to 10.6 points and cutting front-end latency up to 7x.

Sixun Dong, Wei Li, Andong Deng, Qi Qian and 3 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published Oct 3, 2026 · ▲ 13 on Hugging Face

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83%Must read

PerturBot: Breaking Shortcut Priors in Vision-Language-Action Models with Perturbative Training

PerturbBot breaks vision-language-action shortcut priors via perturbative training while GroundingFscore diagnoses shortcut reliance, enabling healthier scaling without altering inference.

Mingyu Liu, Chonghao Sima, Tianjian Feng, Hanqing Wang and 3 more

Published Oct 3, 2026 · ▲ 13 on Hugging Face · Code ★ 6

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67%Highly rated

Collaborative Personalized Preference Alignment for LLMs under Data Deficiency

APO learns shared LLM aligner initializations via grouped gradient coordination to enable few-shot personalization under heterogeneous preferences and scarce feedback, improving over baselines with 20 local examples.

Liyan Yang, Yige Yuan, Zhiqin Yang

Published Oct 5, 2026 · ▲ 5 on Hugging Face

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Learning Latent Protein Languages for Autoregressive Generation

Learned latent protein languages improve autoregressive generation scaling, speed, and quality versus amino-acid and coordinate token models.

Mahdi Pourmirzaei, Farzaneh Esmaili, Amir Ziashahabi, Mohammadreza Pourmirzaei and 1 more

Published Oct 2, 2026 · ▲ 5 on Hugging Face · Code

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88%Must read

PaLoRA: Paced Low-Rank Adaptation for Continual Learning

PaLoRA derives an optimal rank-aware pacing law for LoRA continual learning that adaptively restricts gradient scaling to prevent forgetting, improving long-horizon benchmark accuracy by 4%.

Yuxuan Li, Fanhu Zeng, Hao Tang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published Oct 3, 2026 · ▲ 9 on Hugging Face · Code ★ 2

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71%Highly rated

RealtimeWAM: One-Step Asynchronous World Action Models

RealtimeWAM uses teacher-anchored consistency distillation and cross-expert wavefront pipelining for one-step asynchronous action generation, achieving near-lossless performance with ~25x speedup.

Chengtao Lv, Jinyang Du, Shuyi Feng, Yang Yong and 6 more

Published Oct 5, 2026 · ▲ 12 on Hugging Face · Code ★ 2,880

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71%Highly rated

Code2Games: Enabling Coding Agents for Gaming World Generation

Code2Games coordinates scene analysis and gameplay planning via shared representations to generate consistent gaming worlds and adapt them to Unreal Engine 5. The framework improves visual quality, interactive fidelity, and playable-game quality over direct coding-agent generation on the GameCode4D

Wei Wu, Ziyang Xu, Zeyu Zhang, Yang Zhao and 1 more

Published Oct 4, 2026 · ▲ 6 on Hugging Face · Code ★ 4

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86%Must read
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Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment

CARPM-FIQA accumulates relative point margin scores across training epochs to stabilize face image quality estimates, reducing variance and improving ranking stability near top performance.

Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira, Marco Huber and 3 more

Published Sep 15, 2026 · ▲ 6 on Hugging Face

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78%Highly rated
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Agentic discovery of blood biomarker from distilled private health records

Distilling private health records into a released scoring tool enables agentic discovery of CBC biomarkers that improve diagnostic AUC over literature baselines without exposing patient data.

Seffi Cohen, Liat Antwarg Friedman, Amir Anisman, Ruth Johnson and 6 more

Published Oct 3, 2026 · ▲ 4 on Hugging Face · Code

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CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model

CurveCodec 2 predicts quantized skeletal curves from past values and learns residual entropy models to reduce animation storage to 0.22-0.37x of ACL with verified error bounds.

Mingyi Shi, Huancheng Lin, Xuelin Chen, Taku Komura

Published Oct 3, 2026 · ▲ 4 on Hugging Face · Code ★ 5

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88%Must read
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FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models

FairRSFM benchmarks remote sensing foundation models by biome to expose hidden ecological performance disparities and tests debiasing methods without backbone updates. Aggregate metrics consistently mask large biome-dependent gaps, though mitigation effectiveness varies by model and task.

Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi, Vinod Kurmi and 1 more

Published Oct 5, 2026 · ▲ 5 on Hugging Face · Code

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91%Must read
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UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents

UndoBench separates tool-using agent competence from fault recovery via paired enterprise workflow trials, finding 83.54% nominal success but only 46.72% recovery success with phase-dependent vulnerabilities.

Dolly Sah, Tanmay Sah, Harshul Jain, Tanya Sah

Published Oct 4, 2026 · ▲ 11 on Hugging Face · Code ★ 1

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Periscope: Extending Frozen Language Models Beyond Their Context Window

Periscope arranges text chunks in a grid to build an evidence map via local and strided probes, letting frozen language models answer questions across multi-million-token contexts with sublinear cost and small GPU memory.

Mohamed Eltahir, Anas Obayd, Raed Rashid, Abdulrahman Alghamdi and 4 more

Published Oct 2, 2026 · ▲ 8 on Hugging Face · Code ★ 1

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76%Highly rated
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SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting

SEER uses self-evolving event reasoning and retrieval to dynamically optimize forecasting with exogenous events via reflective memory and causal knowledge, outperforming state-of-the-art baselines.

Mingtian Tan, Palash Goyal, Mihir Parmar, Sarkar Snigdha Sarathi Das and 5 more

Published Oct 2, 2026 · ▲ 13 on Hugging Face · Code

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86%Must read
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Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery

ADSD links numerical diagnosis to reusable solver self-improvement, reducing mean solver error by nearly 71x across four challenging numerical domains.

Peter Chen, Wotao Yin

Published Oct 2, 2026 · ▲ 8 on Hugging Face

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UnAct: Gradient-Free Unlearning via Targeted Activation Intervention

UnAct uses gradient-free targeted activation interventions to unlearn model classes from few forget images without gradients, labels, or retained data, matching or exceeding SSD and LFSSD accuracy across datasets and preventing network collapse with scarce data.

Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani, Janibul Bashir

Published Oct 3, 2026 · ▲ 4 on Hugging Face · Code ★ 1

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Base Models Can Reason By Taking a Cue From Training Data

Fixing initial token cues in base models boosts reasoning to match RL performance, with effects traced to training data associations that can be causally edited.

Sophie L. Wang, Amil Dravid, Rulin Shao, Kevin Farhat and 2 more

Published Oct 5, 2026 · ▲ 12 on Hugging Face · Code ★ 2

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Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination

The RA-Bench benchmark reveals current detectors fail to consistently identify AI-generated crisis videos, which become harder to detect after social dissemination and frequently mislead humans.

Shuo Liang, Yixing Ma, Pengfei Zhou, Zhenglin Wan and 32 more

Published Aug 14, 2026 · 0 citations · ▲ 287 on Hugging Face · Code ★ 132

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Arm-wise Compositional Generalization in Dual-Arm Vision-Language-Action Models

ACG-Bench evaluates arm-wise compositional generalization in dual-arm vision-language-action models via AE-VLA, which achieves 21.53% simulated and 39% real-world success versus under 6% baselines.

Zaibin Zhang, Binghao Ran, Yuhan Wu, Zhongbo Zhang and 9 more

Published Oct 5, 2026 · ▲ 4 on Hugging Face

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arXivPrivacy

What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document

Split-language-model gradients boost token recovery to 97.38% and document reconstruction to 37.77%, so split traffic requires per-token and per-document leakage reporting.

Georgios Politis, Evangelos Pappas

Published Oct 2, 2026 · ▲ 8 on Hugging Face

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StudentSim: Training LLM-based Student Simulators

StudentSim trains LLM student simulators via pooled training and per-student specialization, outperforming GPT-5.4 on behavioral fidelity and guidance responsiveness across chess, writing, and math.

Ke Yang, Chenglong Wang, Michel Galley, Chandan Singh and 3 more

Published Sep 1, 2026 · 0 citations · ▲ 495 on Hugging Face · Code ★ 53

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Empirical Variational Autoencoder

Empirical Variational Autoencoder learns autoregressive latent priors empirically via one linear layer to close the VAE prior-posterior gap, yielding high-fidelity sequential generation competitive with diffusion models at much faster inference.

Kaede Shiohara

Published Oct 5, 2026 · ▲ 7 on Hugging Face · Code ★ 4

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Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction

SHIFT predicts harness utility via a local LLM to search multi-agent structures per query, achieving ~80% mean accuracy across benchmarks while reducing execution tokens by 32%.

Som Sagar, Shasha Li, Hejie Cui, Ransalu Senanayake and 1 more

Published Oct 2, 2026 · ▲ 10 on Hugging Face

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HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models

HLA-WM combines geometry-guided retrieval with recurrent linear attention to fix long-range forgetting in video world models, improving 60-second consistency metrics by up to 28.5% with 12× lower memory and no retraining.

Zhuokun Chen, Feng Chen, Xi Lin, Xiyu Wu and 3 more

Published Oct 5, 2026 · ▲ 6 on Hugging Face · Code ★ 2

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80%Highly rated
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InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation

InterMimicGen retargets human motion capture to humanoids and self-evolves tracking data via iterative simulation-verified augmentation to scale dexterous loco-manipulation.

Yucheng Zhang, Sirui Xu, Jinhong Li, Liuyu Bian and 7 more

Published Oct 5, 2026 · ▲ 4 on Hugging Face

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What Matters for Latent Reasoning with Flow Matching

FLaRe uses flow matching for latent reasoning that is useful, diverse, explainable, refinable and efficient, reaching 97% of explicit chain-of-thought accuracy at 25% latency.

Yassine Ouali, Adrian Bulat, Georgios Tzimiropoulos

Published Oct 5, 2026 · ▲ 10 on Hugging Face

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78%Highly rated
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SoK: Semantic Decision Engines in Network Control Loops

Systematizing 139 semantic decision engine families reveals most miss network deadlines and verification, with only four reporting deadline attainment; unverified decisions reverse admission verdicts under queued execution, prompting minimum reporting rules and a research agenda.

Delong Li, Chen Li, Xu Wang, Haochen Gong and 2 more

Published Oct 5, 2026 · ▲ 6 on Hugging Face · Code

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Learning to Learn a Language

Prior-Fitted Language Model, trained solely on synthetic non-linguistic data, learns to infer and predict real languages from context with frozen weights, achieving strong cross-lingual compression and reasoning without ever seeing real text.

Lennart Carstens-Behrens, Holger Fröhlich

Published Oct 5, 2026 · ▲ 7 on Hugging Face · Code ★ 1

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When to Switch: Reliable Action-Chunk Extension for Vision-Language-Action Models

RACE predicts subskill transition timing to extend VLA action chunks reliably, reducing stop-and-go idle time ~5x on real robots while improving success rates.

Seonghoon Yu, Dongwon Kim, HyungRok Jung, Yoonjae Baek and 3 more

Published Oct 5, 2026 · ▲ 13 on Hugging Face · Code ★ 3

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RobotUse: Allocating Computation, Context, and Decisions

RobotUse organizes robot computation, context, and decisions around revisable physical actions via visual target selection and persistent playbooks, achieving 45% RoboLab success and real-world learning.

Junhoo Lee, Injun Baek, Seungyeon Kim, Suhyun Jeon and 3 more

Published Oct 4, 2026 · ▲ 14 on Hugging Face · Code ★ 4

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Retrieval-Augmented Skill Optimization via Cross-Harness Adaptation

RASO retrieves and adapts external skills via cross-harness adaptation to initialize and iteratively update agent skills, outperforming non-retrieval baselines across benchmarks.

Jaewon Chu, Ji Soo Lee, Jihwan Park, Dohwan Ko and 7 more

Published Sep 29, 2026 · ▲ 63 on Hugging Face

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Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks

Agentic retrieval combining LLM reasoning with dense retrieval improves nDCG@10 by 8.7 points over standard retrieval but requires 107 seconds and 764K input tokens per query.

Reza Esfandiarpoor, Radek Osmulski, Yauhen Babakhin, Gabriel de Souza P. Moreira and 7 more

Published Oct 5, 2026 · ▲ 7 on Hugging Face

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78%Highly rated

Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering

Imagine3D-LLM learns compact scene representations via learnable summary tokens decoded into 3D Gaussian splatting with photometric loss, improving multi-view spatial reasoning benchmarks.

Jaewoo Jung, Hyeonseo Yu, Honggyu An, Jisang Han and 9 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published Sep 29, 2026 · ▲ 72 on Hugging Face · Code ★ 37

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Hiding Tool Latency in On-Device Cascaded Voice Agent through Speculative Execution

Speculative tool execution predicts tool calls from partial ASR to run them during speech, cutting median voice-agent response latency from 5.79 s to 4.60 s.

Kyudan Jung, Hyunsin Park, Yoonhyung Lee, Jinhwan Park and 4 more

Published Oct 6, 2026 · ▲ 1 on Hugging Face

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LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches

LoGRA reduces LLM reinforcement learning memory by up to 45.7% via low-rank gradient sketches and predicted-KL step control, enabling 27B-parameter training on single nodes.

Shaokun Zhang, Yifan Zhang, Jian Hu, Yueying Li and 4 more

Published Oct 5, 2026 · ▲ 11 on Hugging Face

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QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code

QuantCode specializes LLMs for executable trading code via framework pretraining and validated fine-tuning, boosting backtest success to 83.5% while revealing specialization trade-offs in tool use and repair.

Alexey Chernysh, Orkhan Ekhtibarov, Dmitry Zmitrovich

Published Sep 30, 2026 · ▲ 11 on Hugging Face

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World Editing: Intervening on Executable Worlds at Increasing Depth

World editing intervenes on executable environments at increasing depth via IGMWorld and IGMBench, where top agents achieve 78.2% task success with reliability declining by depth.

Max Ku, Nok-Kan Law, Yu-Chien Tang, Shih-Ying Yeh and 14 more

Published Oct 1, 2026 · ▲ 14 on Hugging Face · Code

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lenient 5/5
medium 5/10
strict 3/5
74%Highly rated
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LiFT: Loop Flow Transformers

Loop Flow Transformers loop a shared diffusion transformer with depth-indexed regression targets, improving generation with more inference compute and fewer parameters than dense models.

Mohammad Mahdi Derakhshani, Pedro M. P. Curvo, Gertjan J. Burghouts, Jan-Willem van de Meent and 1 more

Published Oct 4, 2026 · ▲ 9 on Hugging Face

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lenient 4/5
medium 4/10
strict 1/5
78%Highly rated
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From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence

Survey synthesizes code LLM development from data curation to autonomous agents, analyzes general and specialized models, and maps the research-practice gap to practical needs.

Jian Yang, Xianglong Liu, Weifeng Lv, Ken Deng and 36 more

Published Nov 23, 2025 · 1 citation · ▲ 307 on Hugging Face

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HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?

HarnessDev evaluates LLMs creating and evolving agent harnesses, finding generated harnesses lag human references on coding and search but match them on writing and ML tasks, with unstable, model-dependent evolution gains.

Yuhao Wu, Jingyuan Zhang, Jiajun Shi, Xinping Lei and 15 more

Published Sep 1, 2026 · 0 citations · ▲ 566 on Hugging Face

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Capability-Driven Self-Evolution of Agent Memory

PrisMem drives agent memory self-evolution via capability-specific guidance, dependency-aware selection, and trace-guided integration, outperforming baselines by up to 10.54 points on million-token benchmarks.

Yaoqi Chen, Yuru Feng, Qianxi Zhang, Baotong Lu and 7 more

Published Oct 5, 2026 · ▲ 6 on Hugging Face

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lenient 4/5
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strict 1/5
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Closing the Context Gap: Activation Alignment for Tabular In-Context Learning

Activation alignment trains a linear map to align partial-context student activations with full-context teacher activations, significantly improving tabular in-context learning efficiency and recovering much of the performance gap.

Yoel Zeldes

Published Oct 5, 2026 · ▲ 5 on Hugging Face · Code ★ 1

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lenient 4/5
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ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience

ASCENT online test-time trains agents by self-distilling verified deployment trajectories into LoRA weights via a frozen hindsight model, improving long-horizon success and efficiency without external teachers or memory retrieval.

Haodong Lu, Dong Gong

Published Oct 4, 2026 · ▲ 17 on Hugging Face

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lenient 5/5
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74%Highly rated
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Video Generation Models: A Survey of Post-Training and Alignment

This survey reviews post-training and alignment strategies for video generation, framing them as implicit or explicit alignment across four methodological categories to improve controllability and reliability.

Chaoyu Li, Xiaoyi Gu, Yogesh Kulkarni, Eun Woo Im and 9 more

Published Sep 30, 2026 · ▲ 60 on Hugging Face · Code ★ 208

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lenient 5/5
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78%Highly rated
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ALIVE: Interaction-Aligned Object Insertion for First-Frame-Guided Video Editing

ALIVE inserts objects that interact with video contents via first-frame editing and interaction guidance, outperforming baselines on interaction and insertion benchmarks.

Zhenghong Zhou, Zhe Lin, Jiebo Luo, Yuqian Zhou

Published Oct 6, 2026 · ▲ 3 on Hugging Face · Code

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HRM-Text: Efficient Pretraining Beyond Scaling

HRM-Text replaces Transformers with a hierarchical recurrent model and trains on instruction pairs to achieve competitive 1B-parameter performance with 100, 900x fewer tokens and far less compute.

Guan Wang, Changling Liu, Chenyu Wang, Cai Zhou and 5 more

Published May 20, 2026 · 0 citations · ▲ 322 on Hugging Face · Code ★ 2,134

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Noise Out, Bias In: Targeted Bias Injection in Diffusion Language Models via Closed-Loop Activation Steering

Targeted bias injection via closed-loop activation steering exploits diffusion language model denoising trajectories to steer frozen models toward adversarial demographic answers with minimal corruption.

Sarim Hashmi, Mukul Ranjan, Abdelrahman Elsayed, Muhammad Umer Sheikh and 2 more

Published Oct 5, 2026 · ▲ 14 on Hugging Face · Code ★ 3

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lenient 5/5
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67%Highly rated
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The Numerical Linear Algebra of Large Language Models

This survey explains large language model core concepts to numerical analysts and highlights key numerical linear algebra contributions to LLM techniques.

Abdelkader Baggag, Yousef Saad

Published Oct 3, 2026 · ▲ 4 on Hugging Face

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On the Impacts of Contexts on Repository-Level Code Generation

RepoExec benchmarks repository-level code generation, showing instruction-tuned models use cross-file contexts better despite pretrained LLMs achieving higher correctness.

Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui

Published Jun 17, 2024 · 3 citations · ▲ 12 on Hugging Face · Code ★ 164

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Harness Engineering for Software Engineering via Modular Executable Dev-Primitives

Dev-Primitives turn repository artifacts into active, resident-LLM agents with self-modification interfaces, and HERMES improves software engineering benchmarks by 12.4% over baselines while cutting inference costs by 26.2%.

Haibo Jin, Xinjie Li, Peng Kuang, Haohan Wang

Published Oct 6, 2026 · ▲ 2 on Hugging Face

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StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling

StateM improves long-horizon agent accuracy via durable-state harness scaling without model changes, reaching 95.3% on Terminal-Bench 2.1 and cutting API costs to about $15 versus $574.68.

Ziheng Qin, Yaxin Lu, Zhangyang Atlas Wang, Kai Wang

Published Aug 15, 2026 · 0 citations · ▲ 452 on Hugging Face · Code ★ 1,312

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71%Highly rated
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Orca: The World is in Your Mind

Orca is a world foundation model that learns a unified latent space via next-state prediction from video and language, enabling scalable text, image, and action generation.

Yihao Wang, Yuheng Ji, Mingyu Cao, Yanqing Shen and 36 more

Published Jun 29, 2026 · 0 citations · ▲ 511 on Hugging Face · Code ★ 1,021

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HiPLEX: Hierarchical Policy Factorization for Full Duplex Speech Language Models

HiPLEX factorizes full-duplex speech policies into timing and content controllers to jointly optimize interaction dynamics via reinforcement learning. It lowers takeover rates, reduces interruption latency, and improves human-like turn timing versus GRPO.

Kyudan Jung, Hyunsin Park, Yoonhyung Lee, Jinhwan Park and 4 more

Published Oct 6, 2026

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DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling

DiVeR improves verifier-guided VLA test-time scaling by reweighting learning toward decision-critical states using action representation dispersion, boosting success without extra annotations or overhead.

Seongheon Park, Heecheol Kim, Shulin Tian, Lilika Makabe and 4 more

Published Oct 4, 2026 · ▲ 1 on Hugging Face

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lenient 5/5
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ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization

ActiveSaddler automates curriculum learning for agent harness optimization via non-stationary bandits that adapt training scenarios to evolving failure patterns, boosting Pass@1 by 4.4, 7.5 points.

Sungho Park, Wonjoong Kim, Jue Zhang, Wook-Shin Han and 7 more

Published Oct 1, 2026 · ▲ 82 on Hugging Face

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lenient 4/5
medium 8/10
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70%Highly rated
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Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

Vidu S2 enables real-time interactive avatar and editing video generation at 720p with dynamic references and spatial capabilities, outperforming all baselines.

Jintao Zhang, Kai Jiang, Jintao Chen, Xu Wang and 31 more

Published Sep 10, 2026 · 0 citations · ▲ 706 on Hugging Face · Code ★ 501

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Structure-agnostic Causal Representation Learning

SaCRL jointly identifies causal structure and learns invariant representations via soft optimization over HSIC-based invariance violations without prior structural knowledge. It guarantees structure identification, invariance satisfaction, and out-of-distribution generalization while achieving state

Arman Behnam, Binghui Wang

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published Oct 1, 2026 · 0 citations

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Optimal Transport Reweighting for Robust Learning under Spurious Correlations and Label Noise

POTER uses optimal transport geometry between training and reference distributions to downweight mislabeled or shortcut-aligned samples, achieving state-of-the-art worst-group accuracy with a single training stage.

Sung Ho Jo, Seonghwi Kim, Wonsang Yun, Minwoo Chae

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published Oct 1, 2026 · 0 citations

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Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding

Cog-VADU reformulates video anomaly detection as sequential cognitive reasoning via recurrent chain-of-thought prompting and cross-modal re-ranking for training-free zero-shot performance.

Mohd Ubaid Wani, Sara Atito, Josef Kittler, Muhammad Awais

Published Oct 1, 2026 · 0 citations

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Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation

MoLF dynamically routes optimizer updates between full fine-tuning and LoRA to match or beat the stronger static method across tasks, and its efficient variant surpasses AdaLoRA and AdaMix by up to 11.70 points.

Haozhan Tang, Xiuqi Zhu, Xinyin Zhang, Boxun Li and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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76%Highly rated
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HelixWorld: A Real-time Interactive Audio-Visual World Model

HelixWorld is a real-time interactive audio-visual world model that synchronizes visual scenes and spatial stereo sound under user control at 24 FPS, surpassing silent models in acoustic immersion.

Lei Ke, Jiahao Pan, Zeyue Tian, Jiaming Wang and 12 more

Published Sep 29, 2026 · 0 citations · ▲ 32 on Hugging Face · Code ★ 623

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Utonia: Toward One Encoder for All Point Clouds

Utonia trains a single self-supervised point transformer encoder across diverse point cloud domains to learn unified representations that improve cross-domain perception, embodied reasoning, and robotic manipulation.

Yujia Zhang, Xiaoyang Wu, Yunhan Yang, Xianzhe Fan and 5 more

Published Mar 3, 2026 · 0 citations · ▲ 189 on Hugging Face · Code ★ 755

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LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them

LLM2Jev extracts calibrated Jev-style decisions from LLM token probabilities via training-free inference or tree-factorized fine-tuning, showing strong 4B models already match specialized decision models while fine-tuning mainly helps weaker backbones and specific tasks without degrading generation.

Yinheng Li, Justin Wagle

Published Oct 1, 2026 · 0 citations · ▲ 6 on Hugging Face

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Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Separating domain volatility from observation surprise via composite homeostatic-allostatic gates improves recency-shift detection and limits false updates, with linking and verification dominating memory errors.

Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh and 1 more

Published Apr 28, 2025 · 7 citations · ▲ 73 on Hugging Face · Code ★ 66,670

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Counting Moves, Weighing Voices: Bayesian Dialectical Argumentation for Calibrated Multi-LLM Councils under Persistent Adversaries

BDA treats multi-LLM council moves as observations of a per-agent reliability model to yield calibrated answer probabilities and robustly handle persistent adversaries without extra LLM calls.

Ionel Eduard Stan, Paolo Napoletano

Published Oct 1, 2026 · 0 citations

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Kronos: A Foundation Model for the Language of Financial Markets

Kronos pre-trains a financial time-series foundation model on 12 billion K-line records via specialized tokenization, achieving major gains in zero-shot forecasting, volatility prediction, and synthetic data generation.

Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao and 3 more

Published Aug 2, 2025 · ▲ 58 on Hugging Face · Code ★ 40,075

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lenient 5/5
medium 7/10
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89%Must read
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PDE-JEPA: Predictive Representation Learning of Latent Dynamics Modeling for Parametric PDEs

PDE-JEPA introduces predictive masked-latent pretraining with geometry projection and structured latent predictors for parametric PDE dynamics, reducing errors by 33.4% in-distribution and 51.4% on unseen parameters.

Zhentao Tan, Jianrong Zhang, Ruijie Quan, Yi Yang

Published Sep 28, 2026 · 0 citations · ▲ 53 on Hugging Face · Code ★ 9

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HLA: Expressive Hybrid Linear Attention via Chunk-Wise Dynamic Mixing

Hybrid Linear Attention introduces query-dependent chunk-level routing for Gated DeltaNet, improving long-context benchmarks by up to 5.57 points via adaptive recurrent memory composition.

Zhuokun Chen, Xi Lin, Xiyu Wu, Jiahao He and 2 more

Published Oct 5, 2026 · ▲ 2 on Hugging Face

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
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strict 2/5
70%Highly rated
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Jurnal Studi Komunikasi dan Media 2023PadjadjaranEthics & social impact

PENGARUH PAPARAN INFORMASI COVID-19 TERHADAP INTENSI PANIC BUYING MELALUI KECEMASAN MAHASISWA KOTA BANDUNG

COVID-19 Instagram exposure significantly raises student anxiety, which mediates increased panic buying intentions among Bandung students.

Dimas Maulana Irsan, Ikhsan Fuady, Enjat Munajat, Hadi Suprapto Arifin

Published Dec 27, 2023 · 0 citations

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Multilingual GSM-Symbolic: What determines capability transfer across languages?

Multilingual GSM-Symbolic introduces matched math problems across 15 languages to show model size, resource level, reasoning, and typology determine cross-lingual transfer, with size and reasoning closing low-resource gaps but not typological ones.

Kenneth Enevoldsen, Riley Herchert, Sofie Mosegaard, Dan Saattrup Smart and 21 more

Published Oct 2, 2026 · 0 citations · ▲ 47 on Hugging Face · Code ★ 4

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OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution

OpenART scales agent red teaming via open-ended environment evolution across 10,000 stateful scenarios, with EMHA achieving 85% attack success that grows with complexity.

Yunhao Chen, Xin Wang, Yixu Wang, Yi Liu and 5 more

Published Aug 1, 2026 · 0 citations · ▲ 266 on Hugging Face · Code ★ 231

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74%Highly rated
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Spatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory

Spatial Memory Intelligence introduces understanding-driven atomic operations for spatial-memory management in long-video world models, improving sparsity, stability, and spatial consistency.

Ying Yang, Guiyu Zhang, Lianghua Huang, Chang Nie and 4 more

Published Oct 1, 2026 · 0 citations · ▲ 49 on Hugging Face · Code ★ 19

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76%Highly rated
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Flexible Flows for Biological Sequence Design

Flexible Flows for Biological Sequence Design proposes structured couplings and latent edit-based rate parameterization to achieve state-of-the-art results across diverse biological sequence generation tasks.

Yogesh Verma, Dani Korpela, Harri Lähdesmäki, Vikas Garg

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence

ReaLVR fixes latent reasoning's weak visual grounding by supervising latent tokens with visual evidence, improving reasoning across scales up to 235B.

Xi Xiao, Tianchen Zhao, Youngeun Kim, Zhuowei Li and 9 more

Published Sep 28, 2026 · 0 citations · ▲ 217 on Hugging Face · Code ★ 40

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72%Highly rated
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MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

MinerU2.5 decouples global layout analysis from local content recognition via coarse-to-fine parsing, achieving state-of-the-art document parsing accuracy with low computational overhead.

Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang and 36 more

Published Sep 26, 2025 · ▲ 180 on Hugging Face · Code ★ 81,154

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
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69%Highly rated
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SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing

SmoothOperator modulates per-sample label smoothing via embedding prominence to reduce over-alignment, boosting open-set recognition AUROC by up to 4.7%.

Thiru Thillai Nadarasar Bahavan, Yu Xia, Sachith Seneviratne, Halgamuge Saman

Published Oct 1, 2026 · 0 citations

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Context Language Models

Context language models treat context as self-modified files to learn context management, outperforming external strategies with lower compute and enabling in-context and parametric learning of management strategies.

Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin, Yuetai Li and 9 more

Published Sep 29, 2026 · 0 citations · ▲ 40 on Hugging Face · Code ★ 571

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Self-Supervised Scaling of Terminal Environments for Scientific Domains

Software-in-the-loop reconstruction scales terminal-agent training by deriving verified tasks from existing scientific workflows without manual references, improving Terminal-Bench 2 performance to 53.56%.

Zhongzhi Li, Yucheng Shi, Zongxia Li, Junyao Yang and 7 more

Published Oct 2, 2026 · 0 citations · ▲ 10 on Hugging Face

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ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right Context

Embodied progress reward models fail at long tasks due to missing context, but ProgressCompass supplies needed context to cut progress estimation errors by up to 82%.

Jianshu Zhang, Keyi Wu, Chengxuan Qian, Xiyuan Yang and 5 more

Published Sep 29, 2026 · 0 citations · ▲ 11 on Hugging Face

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72%Highly rated
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Auditing Action Settlement in LLM Agent Environments: Order, Progress, and Replay

A typed settlement contract audits concurrent LLM agent actions, showing joint policies complete 59% more six-agent doorway tasks than conservative rejection, with exact replay of 156 checkpoints and rejection of 1,332 corruptions.

Haotian Chen, Bowen Ye, Yuning Zhang, Jingkun Yu

Published Oct 1, 2026 · 0 citations

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Toward Elastic Speech Inference: Training-Free Wake-Word Detection from Pretrained ASR

Pretrained ASR backbones enable training-free wake-word detection, and PCA-based pruning retains performance at 50% encoder reduction.

Hwayeon Kim, Youngwon Choi, Hyeonyu Kim

Published Oct 1, 2026 · 0 citations

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72%Highly rated

Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation

Kandinsky 6.0 Video introduces diffusion models that generate synchronized 5-second audio-video clips with lip-sync via a dual-stream CrossDiT architecture, with the 29B-parameter Pro version outperforming its predecessor and matching top competitors in speech quality.

Team Kandinsky, Julia Agafonova, Bulat Akhmatov, Mikhail Aksyutin and 36 more

Published Oct 4, 2026 · ▲ 113 on Hugging Face · Code ★ 119

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88%Must read
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Match the Distribution, Not the Compute: Post-Training Multi-Token Prediction Heads

Post-training multi-token prediction heads on ~2.5B chain-of-thought tokens match pretraining speedups with 10^3-10^4x less data, while chain-aware verification and adaptive head selection boost throughput up to 16%.

Prachi Badarayani, Aidan Jay, Chenghui Zhou, Dayquan Julienne and 7 more

Published Oct 1, 2026 · 0 citations

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74%Highly rated
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Collective Bias Mitigation via Model Routing and Collaboration

Collective Bias Mitigation routes queries among diverse LLMs and fosters collaboration to substantially reduce bias over single-model baselines.

Mingzhe Du, Luu Anh Tuan, Xiaobao Wu, Yichong Huang and 6 more

Published Oct 2, 2026 · 0 citations · ▲ 14 on Hugging Face

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86%Must read
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GTR: Gated Token Recurrence for Efficient Dense Prediction

GTR replaces softmax attention with gated token recurrence for efficient high-resolution dense prediction, achieving 58.9 COCO box AP with low latency.

Zhe Feng, Longfei Liu, Wei Liu, Kai Chen and 6 more

Published Sep 22, 2026 · 0 citations · ▲ 12 on Hugging Face · Code ★ 50

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World Embedding Benchmark

World Embedding Benchmark evaluates physical encoding via 8,000 simulation cases, finding alignment trades off against quantitative recoverability and retrieval improves video generation fidelity.

Yiqi Liu, Ruifeng Yuan, Yang Wang, Long Li and 6 more

Published Oct 2, 2026 · 0 citations · ▲ 44 on Hugging Face · Code ★ 4

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Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping

REdit reshapes LLM neural circuits before editing to reduce reasoning-pattern interference, improving generality and locality over broad training baselines.

Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He and 3 more

Published Jan 25, 2026 · 0 citations

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Yo-ByT5: Efficient and High-Fidelity Diacritic Restoration for Yorùbá

Yo-ByT5 is a byte-level Yorùbá diacritic restoration model matching mT5-base accuracy with half the parameters and superior text fidelity.

Ahmad Samuel Gali, Shamsuddeen Hassan Muhammad

Published Oct 1, 2026 · 0 citations

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TTCS: Test-Time Curriculum Synthesis for Self-Evolving

TTCS uses a co-evolving question synthesizer and reasoning solver to build test-time curricula that stabilize self-updates and improve reasoning on hard math benchmarks.

Chengyi Yang, Zhiyi Xiang, Yunbo Tang, Zongpei Teng and 4 more

Published Jan 30, 2026 · 0 citations · ▲ 35 on Hugging Face · Code ★ 53

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Receiver-Conditioned Latent Communication gives 94% CacheBack

CacheBack uses receiver-conditioned filtering of sender KV caches via attention weights to cut transferred state by 75%, boosting multi-agent accuracy by 14.7 points and reducing latency 3.2x versus text.

Maximillian Rossi, Prajwal Raghunath, Haoqing Xuan, Yusen Zhang and 1 more

Published Sep 25, 2026 · 0 citations · ▲ 11 on Hugging Face · Code ★ 6

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91%Must read

MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation

MotorMind connects general vision-language models to deterministic robot control via mid-level actions and feedback loops, achieving 66.7% zero-shot success on LIBERO-PRO and 95% on real robots without task-specific training or external tools.

Bingxuan Li, Siqi Song, Yizhuo Wu, Jiarui Yao and 2 more

Published Sep 29, 2026 · 0 citations · ▲ 90 on Hugging Face

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Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Parallel-R1 uses a progressive curriculum combining supervised warmup and reinforcement learning to train large language models in parallel reasoning, achieving significant gains on math benchmarks by treating parallel thinking as a temporary exploration scaffold that unlocks higher final performanc

Zheng, Tong, Hongming Zhang, Wenhao Yu, Xiaoyang Wang and 6 more

Published Sep 9, 2025 · 0 citations · ▲ 105 on Hugging Face · Code ★ 265

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SearchJev: A Fast and Calibrated System-1 Model for Search Agents

SearchJev is a fast calibrated System-1 model that scores search decisions directly without autoregressive generation, improving decision quality, speed, and calibration over same-size language models.

Congfeng Cao, Lipeng Zuo, Konstantinos Papakostas, Qiwei Xu and 5 more

Published Oct 4, 2026 · ▲ 14 on Hugging Face · Code ★ 4

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lenient 5/5
medium 6/10
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Principia: Relational Physics Tests for Video Models

Principia benchmarks video generators via calibration-independent relational physics consistency across eight Newtonian phenomena, finding top models score below 0.42 despite high VBench ratings.

Varun V Thozhiyoor, Shivam Tripathi, Venkatesh Babu Radhakrishnan, Anand Bhattad

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 18 on Hugging Face

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