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WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents

WorldAuditBench benchmarks interactive 3D world auditing with multimodal agents, finding success rates of 6.6% to 42.3% versus 83.4% human performance.

Ziyan Jiang, Jingbo Yang, Jiabao Ji, Yujian Liu and 4 more

Published Sep 30, 2026 · 0 citations · ▲ 102 on Hugging Face · Code ★ 4

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arXivLLM evaluation & benchmarks

Predictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts

Predictive credit for scientific explanations is measured via paired forecasts, but gains over descriptions remain unconfirmed across Tox21, OpenML, and controlled settings.

Jingjie Ning, Xueqi Li, Yibo Kong, Dongting Li

Published Sep 29, 2026 · 0 citations · ▲ 101 on Hugging Face

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arXivU Southern California California Southern Southern States Seoul National New Generation University Colleg Efficient inference & serving

Scaling Trajectories for Complex Tasks through Recursive Self-Rewrite

Recursive Self-Rewrite uses diverse harnesses and recursive revision to rewrite successful terminal trajectories for supervised fine-tuning, boosting pass@3 by up to 7.6x on hard benchmarks.

Zongxia Li, Yucheng Shi, Zhongzhi Li, Junyao Yang and 6 more

Published Oct 2, 2026 · 0 citations · ▲ 91 on Hugging Face

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Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs

HeteroFold enables prefill-free cross-family KV cache transfer between frozen heterogeneous LLM agents, accelerating 32K context transfer up to 10.7x while matching text-based multi-agent performance.

Vincent-Daniel Yun, Woosang Lim, Haneul Yoo, Sungjoo Yoo and 2 more

Published Sep 26, 2026 · 0 citations · ▲ 95 on Hugging Face · Code ★ 1

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arXivAgent memory

Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States

PoS maintains explicit belief states for long-horizon LLM agents, detects belief trapping, and recovers to achieve top results across four benchmarks.

Yu Luo, Jiamin Jiang, Yimin Zuo, Xidao Wen and 8 more

Published Oct 1, 2026 · 0 citations · ▲ 93 on Hugging Face · Code ★ 28

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arXivVision-language-action models

World Action Modeling with Progressive Visual Planning

ProWAM predicts sparse visual sub-goals and actions via progressive planning, achieving state-of-the-art long-horizon robotic control and strong zero-shot real-world generalization.

Fei Zhang, Zhaochong An, Duncan Frost, Yikai Wang and 4 more

Published Oct 1, 2026 · 0 citations · ▲ 83 on Hugging Face

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arXivSoftware engineering agents

RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement

RSIGame uses recursive self-improvement with local and global loops to autonomously refine generated games, surpassing one-shot GPT-5.5 scores while cutting generation tokens by 11x.

Wenyi Wu, Minghao Fu, Jieyu You, Kun Zhou and 9 more

Published Sep 30, 2026 · 0 citations · ▲ 91 on Hugging Face · Code ★ 125

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arXivLLM reasoning & chain of thought

Hierarchical Continuous Diffusion Language Models

HC-DLM couples discrete token generation with a continuous latent trajectory via a unified variational denoising objective, outperforming diffusion baselines on Sudoku, Countdown, and language modeling.

Hui Ren, Zihan Li, Chang Liu, Huidong Liu and 1 more

Published Oct 1, 2026 · 0 citations · ▲ 89 on Hugging Face · Code ★ 57

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arXivVision-language-action models

Native Action-Prior Learning from Videos for World Action Models

NAVA-WAM pretrains robot action policies directly from observation-only videos via flow-matching and joint attention, improving control accuracy and label efficiency.

Zhaochong An, Fei Zhang, Menglin Jia, Duncan Frost and 9 more

Published Oct 2, 2026 · 0 citations · ▲ 81 on Hugging Face

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arXivNational University of Singapore Robot manipulation

Agent Priors-guided Policy Learning

Agent Priors-guided Policy Learning embeds structural priors in skill interfaces to enable compositional and out-of-distribution skill generalization.

Puming (Oscar) Jiang, Tao Hu, Haozhe Du, Yibo Li and 3 more

Published Sep 28, 2026 · 0 citations · ▲ 84 on Hugging Face · Code ★ 3

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arXivInstitute of Computing Technolog U Chinese Academy of Sciences Alignment & preference optimization

On-Policy Parameter Update Direction Underlies Generalization in LLM Post-Training

On-policy methods continuously adjust parameter update directions, unlike consistent SFT updates; constraining SFT to these directions via OPSFT transfers on-policy generalization advantages to supervised fine-tuning.

Shufan Shen, Zhongni Hou, Junshu Sun, Yufei Zhang and 4 more

Published Sep 29, 2026 · 0 citations · ▲ 81 on Hugging Face

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World Observer: Joint Actor-Observer Generation for Persistent World Modeling

World Observer jointly generates actor and panoramic observer views to continuously model out-of-view dynamics via shared geometric warping and observer sinks.

Hyunwook Choi, Dahyun Chung, Hyunsung Kim, Siyoon Jin and 3 more

Published Oct 1, 2026 · 0 citations · ▲ 85 on Hugging Face · Code ★ 30

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Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI

A Builder learns reusable meta-skills from target feedback to construct execution harnesses that boost target performance on unseen tasks. Meta-skills improve macro-average scores by 8.95 points over no-skill construction and 12.02 over direct delivery.

Cheng Qian, Kunlun Zhu, Beibin Li, Zhenhailong Wang and 1 more

Published Sep 29, 2026 · 0 citations · ▲ 83 on Hugging Face · Code ★ 9

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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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arXivVirginia Tech U Maryland, College Park Mohamed bin Zayed University of LLM evaluation & benchmarks

EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making

EVOKE improves LLM agent transfer by ranking actions under diverse goals at fixed states to elicit pretrained world knowledge for robust decision-making.

Yuhan Guo, Jinming Liu, Liang Xu, Ziqiang Li and 7 more

Published Sep 29, 2026 · 0 citations · ▲ 78 on Hugging Face · Code ★ 7

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arXivRepresentation & contrastive learning

JEPA-Anything: Learning Predictive Models across Different Worlds

JEPA-Anything uses orthogonal predictive factorization to learn cross-domain predictive models that outperform baselines in vision, biology, clinical, control, molecular, physical, and weather domains.

Taoyong Cui, Zhongyao Wang, Xinyue Xu, Weiyang Liu and 9 more

Published Sep 17, 2026 · 0 citations · ▲ 77 on Hugging Face · Code ★ 261

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A Missing Piece for Trustworthy AI Reviewers: From Benchmarking Rhetorical Robustness to SciCore Review

Rhetorical robustness requires stable judgments across content-preserving rewrites and discrimination across papers; SciCore improves both via dual-branch science-core review.

Chenguang Wang, Ming Li, Chengrui Fan, Jianpeng Chen and 3 more

Published Sep 30, 2026 · 0 citations · ▲ 76 on Hugging Face

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arXivU Waterloo Duke National University of Singapore LLM agents & planning

X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization

X-Tree learns reusable hierarchical skills from agent trajectories and improves success rates up to 5.8% across web and science benchmarks.

Sitao Cheng, Xunjian Yin, Zhiyuan Sun, Yuxuan Li and 3 more

Published Sep 26, 2026 · 0 citations · ▲ 76 on Hugging Face · Code ★ 2

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arXivLong-context modeling

Transformers Stop Thinking Too Early, and a Tiny LoRA Fixes It

Pretrained transformers stop following references after 1.4, 3.6 lines, but a rank-8 LoRA at one early layer extends computation to 50, 160 lines without changing frozen weights.

Zehao Jin, Ruixuan Deng, 君然王

Published Sep 29, 2026 · 0 citations · ▲ 75 on Hugging Face · Code ★ 3

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NeurIPS 2026Multimodal reasoning

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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ROWBench: Do Video Models Render What the Program Specifies?

PROWBench evaluates video models' fidelity to program-specified world events via replayable world records and VLM-based logic-render and interaction metrics.

Zheng-Hui Huang, Guixu Lin, Yu-Ju Tsai, Jian-Kai Zhu and 5 more

Published Oct 1, 2026 · 0 citations · ▲ 70 on Hugging Face · Code ★ 31

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arXivNanyang Technological Korea Advanced Institute of Scie Peking Fairleigh Dickinson U Catania Multimodal reasoning

Thinking Outside the Box: Can Language Models Rely on External Guidance Selectively?

Frontier models follow unreliable external guidance; training improves selective reliance, identifying it as a key agent reliability dimension.

Minghan Wang, Boyuan Wang, Jinhang Zuo, Yuxin Tao and 1 more

Published Sep 30, 2026 · 0 citations · ▲ 67 on Hugging Face

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EgoTools: Towards Tool-Centric Reasoning in Real-World Egocentric Videos

EgoTools introduces a dataset and benchmark for egocentric tool-use reasoning, showing current models struggle with visual grounding while training improves performance.

Shulin Tian, Junsu Kim, Shuai Liu, Hao Li and 16 more

Published Sep 30, 2026 · 0 citations · ▲ 67 on Hugging Face · Code ★ 9

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arXivLLM pretraining & scaling laws

E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models

E-MoE improves few-step non-factorized diffusion language models via Mixture-of-Experts routing as a discrete shared latent, boosting sample quality without extra active parameters.

Arseny Ivanov, Alexander Kolesov, Alexander Korotin, Ivan Oseledets and 1 more

Published Sep 29, 2026 · 0 citations · ▲ 66 on Hugging Face

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arXivRL for LLMs

Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL

DARA corrects batch-level reward imbalance via inverse-square-root active-group density weights, accelerating multi-reward RL training by up to 65% with no objective change.

Tong Zheng, Skylar Zhai, Zhan Cheng, Tianming Sha and 6 more

Published Sep 30, 2026 · 0 citations · ▲ 64 on Hugging Face · Code ★ 2

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arXivInstruction tuning

Latent-MOPD: Latent Multi-Teacher On-Policy Distillation

Latent-MOPD distills multi-teacher LLM specialists via hidden-state and prediction-level on-policy supervision, outperforming token-only and representation-only baselines across math, code, and logic benchmarks.

Zhengyu Fang, Seoyeon Hong, Jie Yang, Muyang Li and 3 more

Published Oct 1, 2026 · 0 citations · ▲ 63 on Hugging Face

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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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arXivGeorgia Institute of Technology Zhejiang U British Columbia Alignment & preference optimization

OSWorld-Science: A Benchmark of Computer Use Agents for Learning and Using Scientific Software

OSWorld-Science benchmarks VLM agents on 146 expert scientific software tasks, showing state-of-the-art models still struggle with scientific workflows and harness design.

Dingyuan Dai, Heli Qi, Lei Liu, Yinxi Li and 27 more

Published Sep 30, 2026 · 0 citations · ▲ 63 on Hugging Face · Code ★ 5

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arXivEmbodied agents

Decentralized Master-Mind: Joint Action Refinement through Iterative Intent Denoising in Multi-Agent Pathfinding

DMM refines multi-agent action intents iteratively via communication to fix incompatible joint actions, achieving near-perfect success on 1,600 MovingAI tasks and scaling to over one million agents.

Valeriy Vyaltsev, Anton Andreychuk, Taisia Zlotnikova, Konstantin Yakovlev and 2 more

Published Sep 25, 2026 · 0 citations · ▲ 62 on Hugging Face · Code ★ 4

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arXivRobot manipulation

InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation

InterEvolve evolves reward programs at test time via an LLM agent and numerical optimizer to compose a humanoid controller's skills for novel loco-manipulation tasks. The approach releases latent controller competence through object-aware forward-backward models, generating novel strategies that tra

Zhuo Lin, Sirui Xu, Liuyu Bian, Yu-Xiong Wang and 1 more

Published Oct 1, 2026 · 0 citations · ▲ 61 on Hugging Face

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arXivWeb & GUI agents

AutoGUIWorld: Image Generators as Visual World Models for GUI Agent

AutoGUIWorld uses image generators to synthesize GUI interaction trajectories without running software, improving OSWorld scores to 40.8% and ScienceBoard success to 32.2%.

Cheng Yang, Yifan Wu, Yutao Huang, Zhaohua Zhang and 17 more

Published Oct 1, 2026 · 0 citations · ▲ 61 on Hugging Face · Code ★ 9

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arXivJilin LLM evaluation & benchmarks

More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models

Direct-decision JEV models show ordinal scale-utilization bias, compressing decisions to 26, 76% of gold support despite high accuracy, but BA-LoRA post-training improves utilization to 86%.

Tianxiang Gao, Jinzhe Li, Zhiyuan Li, Yi Chang and 1 more

Published Sep 30, 2026 · 0 citations · ▲ 60 on Hugging Face · Code ★ 3

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TMLR 2026Video generation

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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arXivLLM pretraining & scaling laws

Scaling and Distilling Text Embeddings for Better Diffusibility

Scaling and distilling text embeddings improves latent diffusion by yielding more connected, diffusible spaces that boost generative performance beyond autoregressive baselines.

Zekai Zhang, Yunjie Tian, Yanjin He, Xiaoyan Zhang and 3 more

Published Oct 1, 2026 · 0 citations · ▲ 57 on Hugging Face · Code ★ 3

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arXivTest-time compute

ALoDLM: Adaptively Looped Diffusion Language Models

ALoDLM applies token-adaptive latent recurrence to diffusion language models, allocating computation by difficulty to close the quality gap with autoregressive models at 1.7B and 8B scales.

Liancheng Fang, Zhuowei Li, Youngeun Kim, Tianchen Zhao and 9 more

Published Oct 3, 2026 · ▲ 55 on Hugging Face · Code ★ 4

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92%Must read

arXivLLM evaluation & benchmarks

Science or Slop?: Benchmarking and Mitigating Scientific Slop in AI-Generated Papers

A benchmark of 390 AI papers measures scientific slop across structure, argument, and artifacts; a harness reduces the AI-human gap by 63% via evidence-grounded revision.

Yerim Oh, Young-Jun Lee, Jaewoo Ahn, Gunhee Kim and 1 more

Published Sep 30, 2026 · 0 citations · ▲ 55 on Hugging Face · Code ★ 13

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arXivAlignment & preference optimization

Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models

Pivot-SD self-distills masked diffusion language models by supervising high-impact commitment tokens via information-gain selection, improving reasoning with minimal data.

Seo Hyun Kim, Sunwoo Hong, Younwoo Choi, Chen-Hao Chao and 2 more

Published Oct 2, 2026 · 0 citations · ▲ 54 on Hugging Face

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Persona Dosing: Calibrated Activation Steering for Graded Trait Control

PersonaDose calibrates activation-steering controllers to control language-model persona traits by requested intensity, reducing targeting errors to 4.7-6.2 points across models.

Zehao Jin, Junran Wang, Ruixuan Deng, Jiahao Chen and 3 more

Published Sep 28, 2026 · 0 citations · ▲ 54 on Hugging Face

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arXivPhysics-informed ML & PDEs

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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HyperBrowseComp: A Multilingual and Multimodal Stress Test for Web-Browsing Agents

HyperBrowseComp introduces a multilingual, multimodal web-browsing benchmark of 423 hard questions requiring obscure evidence discovery, and current agents perform poorly against human baselines.

Alham Fikri Aji, Faiz Rizki Ramadhan, Zayd M. K. Zuhri, Seung Hun Eddie Han and 13 more

Published Oct 2, 2026 · ▲ 53 on Hugging Face

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CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?

CheckerBench evaluates long-horizon agents on synthesizing static-analysis checkers across 300 CVE-derived tasks, finding best Pass@1 reaches 45.33%.

Hang He, Li Wang, Hao Chen, Yuchen Shao and 8 more

Published Oct 6, 2026 · ▲ 52 on Hugging Face · Code

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arXivPeking Tsinghua Northeastern Reward models & LLM-as-a-judge

LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models

LexReward introduces taxonomy-driven rubric-based rewards for legal language models across style, element, and reasoning dimensions, improving DPO and reinforcement learning performance.

Yida Cai, Xin Dai, Bingxiang He, Huiyuan Xie and 4 more

Published Sep 30, 2026 · 0 citations · ▲ 51 on Hugging Face

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AIM: Agentic Idea Management for Automated Research

AIM autonomously manages research ideas via Bayesian-inspired selection and auditing to outperform baselines by up to 4.9 points and speed up search up to 3.1x.

Hyeong Kyu Choi, Bhavana Dalvi Mishra, Jiefeng Chen, Mihir Parmar and 6 more

Published Sep 29, 2026 · 0 citations · ▲ 51 on Hugging Face

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WWW 2026Seoul National Robot manipulation

Beyond the Current Scene: Event-Referential Grasping with Active View Selection

BeyondSCe enables zero-shot event-referential grasping via active view selection, achieving 76% and 77% success on visible and occluded targets versus 40% and 55% baselines.

Hyunjoon Lee, Haebeom Jung, Eunsung Cha, Daeun Lee and 3 more

Published Sep 30, 2026 · 0 citations · ▲ 51 on Hugging Face · Code ★ 8

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arXiv3D generation

EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling

EditHero benchmarks long-horizon part-level 3D editing via sequential instructions and target images, finding agentic code-based methods preserve unedited regions better but are slower than non-agentic regeneration.

Ruihan Yu, Yu-Ju Tsai, Muyao Niu, Runyi Li and 8 more

Published Oct 1, 2026 · 0 citations · ▲ 50 on Hugging Face · Code ★ 12

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VeriHarness: Scaling Agentic Verification for Long-Horizon Tasks

VeriHarness turns fixed base LLMs into agentic verifiers with workspaces and evidence tools, achieving top selection scores and 6.2, 6.4 point gains over single rollouts on long-horizon tasks.

Caiqi Zhang, Rujun Han, Zifeng Wang, Zoey CuiZhu and 3 more

Published Oct 1, 2026 · 0 citations · ▲ 49 on Hugging Face · Code ★ 42

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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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arXivU Washington Massachusetts Institute of Techn Long-context modeling

SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation

SimuVerity benchmarks text-to-executable Simulink generation across engineering domains, finding best agents score only 42.86 and structural similarity poorly predicts engineering performance.

Ruiqi Zhang, Jiahao Wang, Mingxuan Li, Haichen Luo and 8 more

Published Oct 1, 2026 · ▲ 47 on Hugging Face · Code ★ 19

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lenient 5/5

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arXivLLM evaluation & benchmarks

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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arXivVideo-language models

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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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 · ▲ 43 on Hugging Face · Code ★ 595

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lenient 5/5

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arXivRobot manipulation

PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation

PointWAM forecasts 3D point trajectories of scenes and hands in a shared space-time frame to guide dexterous robot manipulation, improving DexJoCo success by 56.9 points with video pre-training.

Chunghyun Park, Beomjun Kim, Seungcheol Park, 권희승 and 4 more

Published Oct 2, 2026 · 0 citations · ▲ 42 on Hugging Face

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arXivGeorgia Institute of Technology U California, Los Angeles U Chicago Multi-agent LLM systems

Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems

SciUtopia is a closed-loop LLM simulation framework modeling entire academic ecosystems; it finds resubmission amplifies reviewer burden, cautious exploration balances impact and diversity, and inequality can emerge without cumulative funding advantage.

Yiqiao Jin, Yiyang Wang, Lucheng Fu, Bing He and 7 more

Published Oct 1, 2026 · 0 citations · ▲ 40 on Hugging Face · Code ★ 29

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Source Preference in the Wild: How LLM Agents Favor Items by Source, and How to Reduce It

LLM agents show strong source preferences across search domains that can override item quality, though supplying missing information or countering preconceptions reduces this bias.

Jonghyun Song, Haewon Park, Jeonghoon Shim, Woojung Song and 1 more

Published Oct 2, 2026 · 0 citations · ▲ 37 on Hugging Face

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arXivCa' Foscari University of Venice Singapore University of Technolo Sleep Research Society Speech synthesis

Ego2Act: Evaluating Goal-Directed Manipulation in Egocentric Video Generation

Ego2Act evaluates egocentric video generation on multi-step goal-directed manipulation, showing models skip steps and fail at fine-grained physical dynamics.

Patrick Amadeus Irawan, Iskandar Muda Rizky Parlambang, Rava Maulana, Qinrong Cui and 9 more

Published Oct 1, 2026 · 0 citations · ▲ 33 on Hugging Face · Code ★ 3

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arXivUnified multimodal models

PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation

PixelUMM is an encoder-free unified model for image and video understanding and generation that represents images as spatial patches and videos as spatiotemporal tubelets, achieving competitive performance across tasks.

Cong Wei, Xuanchi Ren, Bryan Chu, Weiming Ren and 7 more

Published Sep 29, 2026 · 0 citations · ▲ 32 on Hugging Face · Code ★ 161

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arXivUnified multimodal models

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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lenient 5/5

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DEFINE: Exemplar-Guided Accent Control for Zero-Shot TTS

DEFINE decouples speaker identity and accent in zero-shot TTS via separate audio exemplars and a single guidance weight, generalizing accent control beyond training accents with high speaker similarity.

Ambuj Mehrish, Abhinaba Roy, Alex Ivanov, T. Ahmed and 1 more

Published Sep 26, 2026 · 0 citations · ▲ 32 on Hugging Face · Code ★ 2

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lenient 4/5

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arXivLLM reasoning & chain of thought

Language Models that Play Chess and Explain Their Moves

Queen, a 4B-parameter chess-language model, plays at grandmaster level and explains moves via cross-attention to a silent expert encoder and iterative Bellman-style explanation distillation, surpassing larger frontier models.

Adithya Bhaskar, Jeffrey Cheng, Danqi Chen

Published Oct 2, 2026 · 0 citations · ▲ 31 on Hugging Face · Code ★ 18

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In-Distribution Forcing for Long Video Generation at Test Time

In-Distribution Forcing prevents out-of-distribution key-value drift via self-caching to extend short video models to minute-scale generation.

Jeongwoo Shin, Youngyoon Choi, Sangwoo Jo, Hyunmog Kim and 4 more

Published Oct 2, 2026 · 0 citations · ▲ 29 on Hugging Face · Code ★ 3

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arXiv3D vision & reconstruction

4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes

4DCodeBench benchmarks agents reconstructing dynamic scenes from video as executable graphics code, finding strong static models fail at complex dynamics.

Ruihong Shen, Žiga Kovačič, Peter Kulits, Xingrui Wang and 5 more

Published Oct 2, 2026 · 0 citations · ▲ 28 on Hugging Face · Code ★ 89

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arXivAgent memory

Memadapter: Counterfactual Adaptation Against Memory-induced Sycophancy

MemAdapter counters memory-induced sycophancy via counterfactual induction, context-aware reflection, and evidence-based reasoning to improve memory reliability across diverse scenarios.

Ruqing Ning, Haibo Meng, Zhishang Xiang, Zerui Chen and 3 more

Published Oct 4, 2026 · ▲ 27 on Hugging Face · Code ★ 21

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lenient 5/5

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arXivMassachusetts Institute of Techn Long-context modeling

Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling

Triadic linear attention uses 3D tensor states via triadic outer products to scale recurrent state size efficiently, substantially improving long-context modeling and recall.

Oliver Sieberling, Bharat Runwal, David Jin, Ryan Chin and 2 more

Published Sep 29, 2026 · 0 citations · ▲ 27 on Hugging Face · Code ★ 10

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AI panel: 4 of 20 reviewers recommend it

lenient 3/5

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arXivAutoregressive generation

ProAR: Learning Prospective Reasoning with Autoregressive Video Models

ProAR introduces goal-frame prediction and future self-alignment to enable goal-directed reasoning in autoregressive video models, surpassing baselines with 25% training steps.

Linghui Shen, Tinghui Zhu, Sheng Zhang, Muhao Chen

Published Oct 2, 2026 · 0 citations · ▲ 26 on Hugging Face · Code ★ 2

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arXivVision-language-action models

Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control

NowWAM adapts pretrained diffusion transformers to robot control via current-observation denoising and action prediction, achieving 87.7% on LIBERO-Plus with halved tokens and 1.8x speedup.

Zanyi Wang, Yuheng Lei, Dengyang Jiang, Ping Luo and 3 more

Published Sep 23, 2026 · 0 citations · ▲ 25 on Hugging Face · Code ★ 8

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lenient 5/5

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arXivInstruction tuning

Local Support Learning

Local Support Learning pairs weight adapters with GMM gating to keep updates local, resolving catastrophic forgetting in LLMs up to 7B parameters without prior data.

Assaf Ben-Kish, Akarsh Kumar, James Glass, Raja Giryes

Published Oct 1, 2026 · 0 citations · ▲ 25 on Hugging Face · Code ★ 13

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arXivEfficient inference & serving

The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction

Edge0 predicts next-layer MoE routing one token ahead to stream experts from SSD, serving 35B-class MoEs at 20 tok/s within 3 GiB active memory on a 24 GB machine via recovery LoRA adapters.

Yu Lin, Yiming Wang, Runyuan Cai, Liu, Hanze and 1 more

Published Sep 16, 2026 · 0 citations · ▲ 25 on Hugging Face · Code ★ 3,293

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AI panel: 15 of 20 reviewers recommend it

lenient 5/5

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