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Showing papers from University of Illinois at Urbana-Champaign Show all papers

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GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions

Junho Kim, Xu Cao, Houze Yang, Bikram Boote and 5 more

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

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Optimizing Retraining Schedules via Learning Curves

Jin Sima, Changlong Wu, Ananth Grama, Wojciech Szpankowski

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

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Requential Coding: Measuring Model Compressibility by Coding Data Instead of Parameters

Shikai Qiu, Marc Finzi, Yujia Zheng, Kun Zhang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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RoutingBench: Can Agentic Routing Analysis Scale to Production Datacenter Networks?

Wenlong Ding, Zhixiong Niu, Jianan Yang, Fajun Zhang and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort

Zerui Cheng, Edoardo Contente, Benjamin Finch, Oleg Golev and 7 more

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

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GEAR: A GPU-Accelerated Global Solver for Nonlinear Programs via Linear Bound Propagation

Duo Zhou, Hesun Chen, Xiangru Zhong, Grani A. Hanasusanto and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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CultureRed: Benchmarking Culture-Specific AI Safety Based on Global Statutes

Xun Liu, Mintong Kang, Seok Min Lim, Ong C Hui and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AgentAbstain: Do LLM Agents Know When Not to Act?

Xun Liu, Yi Evie Zhang, Vira Kasprova, Parisa Rabbani and 4 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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RL-Inf: Tracking Non-local Training Data Influence for Online Reinforcement Learning

Shixuan Liu, Cheng Tang, Yuzheng Hu, Fan Wu and 2 more

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

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When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning

Zihao Zhao, Tunyu Zhang, Haizhou Shi, Yusong Zhao and 2 more

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

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Sequential Probabilistic Uncertainty Estimation for Parallel Multi-Agent Reasoning Systems

Tunyu Zhang, Zihao Zhao, Yusong Zhao, Haizhou Shi and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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TimeTraveler: Temporal Strategy Planning with Time Dictionary for Streaming Video Understanding

Minkuk Kim, Junho Kim, Seong Tae Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Feature Recovery for Object Understanding Under Physical Transformation

Aditi Tiwari, Sofia Stoica, Savya Khosla, David Forsyth and 1 more

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

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ClinMAS: A Knowledge-Grounded Multi-Agent Simulation Framework for Evaluating Clinical Reasoning in LLMs

Yuqi Tang, Jing Yu, Zichang Su, Kehua Feng and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Complementing DINO Features with Image Structure for Part Discovery

Samyak Rawlekar, Nikhil C Paleti, Amey Gupta, Narendra Ahuja

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

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Auto-Rubric as Reward: From Implicit Preference to Explicit Generative Criteria

Juanxi Tian, Fengyuan Liu, Jiaming Han, Yilei Jiang and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Crosscoding Through Time: Sparse Feature Discovery Across Sequence Positions

Dmitry Manning-Coe, Han Xuanyuan, Aniket Deshpande, Andrii Shportko and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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ChildPose: Foundation for Children Pose Modeling

Jiakai Chen, Yifan Shen, Boyi Li, Chuanmiao Dong and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Trivialized Generative Models on Lie Groups

Neil He, Meenal Jhajharia, Qianxi Wu, Chaoran Cheng and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design

Junsheng Huang, Yifan Sun, Zhuoer Zhang, Ning Wei and 6 more

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

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See, Read, Compare: Candidate-Aware Verification for Agent Test-Time Scaling

Xinyu Ye, Yongliang Wu, Xingyu Zhu, Peng Xia and 6 more

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

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What Sound Tells You About the Room

Yiduo Hao, Yiwei Tang, Jiayang Li, Zitong Lan and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Inverse Modeling of Neural Recordings via Differentiable Biophysical Simulation

Frithjof Gressmann, Ngoc H Pham, Lawrence Rauchwerger

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Cascaded Sparse Autoencoders LearnMulti-Level Visual Concepts in Multimodal LLMs

Yusong Zhao, Hengyi Wang, Tanuja Ganu, Akshay Nambi and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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Risks Create a Jagged Frontier of LLM Productivity Gains Across Computer Occupations

Deepika Chawla, Gagandeep Singh, Elham k buxton, Meicen Sun and 3 more

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

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VASR: Variance-Aware Systematic Resampling for Diffusion Models

Shivanshu Shekhar, Sagnik Mukherjee, Jia Y Zhang, Tong Zhang

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Dynamic Spectral Federated Graph-Level Clustering

Wenxin Zhang, Xi Xuan, Guangzhen Yao, Feng Zhou and 6 more

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

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FlowMoP: Stochastic Multi-Person Motion Prediction

Aadya Agrawal, Ho Kei Cheng, Alex Schwing

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Your Benchmark Is an Empirical Measure Over Difficulty

Yifan Sun, Naicheng Yu, Jiawen Gong, Jingyan Shen and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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MotorSense: A Video-EMG Dataset of Motoric Representations for Action Understanding

Eadom T Dessalene, Michael Maynord, Amir Hossein Shahidzadeh, Botao He and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Do Semantic Distance Tests Actually Predict Creativity in Large Language Models?

Samuel Schapiro, Alexi Gladstone, Jonah Black, Heng Ji

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Explanations over Graphs: An Agent Architecture for IT Enterprise Diagnostic Tasks

Saurabh Jha, Rohan R. Arora, Bhavya Bhavya, Noah Zheutlin and 5 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Training Agent to Scale Inference-Time Reasoning

Yunzhe Qi, Sirui Chen, Jiaru Zou, Yanjun Zhao and 2 more

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

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Understanding Reasoning from Pretraining to Post-Training: Chess as a Controlled Testbed

Jingyan Shen, Ang Li, Salman Rahman, Yifan Sun and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Independent Latents, Robust Neural Operators

Jay Yoo, Kazuma Kobayashi, Jaewan Park, Sai puppala and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Advancing Affordance-Grounded Creative Tool Use in Large Multimodal Models

Cheng Qian, Hyeonjeong Ha, Jiayu Liu, Jeonghwan Kim and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets

Hidden-target projection minimizes regret for online inventory optimization on general convex sets, improving dependence on common-demand probability to inverse square root with matching lower bound, plus polylogarithmic and adaptive dynamic guarantees.

Anthony Pineci, Yunzong Xu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation

RIG-BENCH evaluates reasoning-driven image generation across four cognitive domains, revealing that state-of-the-art models produce locally plausible but globally illogical outputs.

Yutong Liu, Nan Huang, Xu Cao, James Rehg

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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lenient 4/5
medium 6/10
strict 1/5
70%Highly rated
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Global Convergence of Four-Layer Matrix Factorization under Random Initialization

Gradient descent globally converges for randomly initialized four-layer matrix factorization with balanced regularization, avoiding saddles in polynomial time.

Minrui Luo, Weihang Xu, Xiang Gao, Maryam Fazel and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

OpenWebRL enables open online RL for visual web agents, with a 4B model reaching 67% Online-Mind2Web and 64% DeepShop success using minimal initialization data.

Rui Yang, Qianhui Wu, Yuxi Chen, Hao Bai and 6 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 52

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Beyond Pessimism: Offline Learning in KL-regularized Games

A pessimism-free offline algorithm for KL-regularized games achieves O(1/n) sample complexity via equilibrium stability and smooth best responses.

Yuheng Zhang, Claire Chen, Nan Jiang

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

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lenient 2/5
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VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems

VerifyMAS verifies failure hypotheses over full LLM multi-agent trajectories to attribute errors globally and cut combinatorial search.

Hezhe Qiao, Hanghang Tong, Ee-peng Lim, Bing Liu and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
80%Must read
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ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation

ELSA3D introduces elastic semantic anchoring to unify 3D understanding and generation via scale-matched cross-modal routing, achieving state-of-the-art results with roughly half the FLOPs and latency.

Tianjiao (Joey) Yu, Xinzhuo Li, Yifan Shen, Onkar Susladkar and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching

Q-MMR evaluates off-policy returns via recursive moment-matching weights learned inductively, guaranteeing dimension-free finite-sample error under Q-realizability alone.

Nan Jiang, Xiang Li

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Discrete Langevin-Inspired Posterior Sampling

ΔLPS proposes a discrete gradient-informed posterior sampler that enables parallel updates without continuous relaxations, outperforming discrete diffusion samplers and matching continuous solvers across inverse problems.

Sattwik Basu, Chaitanya Amballa, Jorge V Sampedro, Romit Roy Choudhury

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
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76%Highly rated
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Reinforcing VLAs in Task-Agnostic World Models

RAW-Dream disentangles world models from task data by using task-agnostic pre-trained dynamics and VLM rewards to fine-tune VLAs entirely in zero-shot imagination with verified rollouts.

Yucen Wang, Rui Yu, Fengming Zhang, Junjie Lu and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
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80%Must read
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Variable-Length Generative Protein Design via Generalized Poisson Flow

GPFlow learns generalized Poisson process rate functions for variable-length protein generation, improving designability and recovering length distributions without fixed-length constraints.

Chaoran Cheng, Zhanghan Ni, Yanru Qu, Yuxin Chen and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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SimpliHuMoN: Simplifying Human Motion Prediction

SimpliHuMoN is a simple transformer that predicts human pose and trajectory together, achieving state-of-the-art results across standard benchmarks without task-specific modifications.

Aadya Agrawal, Alex Schwing

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency

VCBENCH benchmarks multimodal elementary math reasoning requiring multi-image visual dependencies, finding top models score under 50%.

Zhikai Wang, Jiashuo Sun, Wenqi Zhang, Zhiqiang Hu and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 11

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Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors

A clustering-based divergence method measures gaps between real and simulated user behaviors, finding large, family-dependent discrepancies reducible by combining complementary simulators.

Shuhaib Mehri, Philippe Laban, Sumuk Shashidhar, Marwa Abdulhai and 3 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
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Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory

Lean4Agent uses Lean4 to formally model and verify agent workflows, with verified workflows outperforming failing ones by 11.94% and LeanEvolve improving SWE performance by 7.47%.

Ruida Wang, Jerry Huang, Pengcheng Wang, Xuanqing Liu and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 31

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lenient 4/5
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CoMMa: Contribution-Aware Medical Multi-Agents for Decentralized Oncology Decision Support

CoMMa is a decentralized multi-agent oncology framework using partitioned data, specialized fine-tuning, and deterministic contribution-aware aggregation to enable interpretable, privacy-preserving decision support across diverse clinical settings.

Yichen WU, Yujin Oh, Sangjoon Park, Kailong Fan and 9 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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74%Highly rated
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SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation

SILSA generates high-resolution 3D shapes with sliding-window slice latents and slice-level topology supervision to improve fidelity, reduce tokens by over 70%, and lower inference time by 58.5%.

Tianjiao (Joey) Yu, Xinzhuo Li, Yifan Shen, Ying Shen and 3 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 37 on Hugging Face

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5
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Normalizing Trajectory Models

Normalizing Trajectory Models train expressive conditional normalizing flows for coarse diffusion steps with exact trajectory likelihood, enabling high-quality four-step text-to-image generation.

Jiatao Gu, Tianrong Chen, Ying Shen, David Berthelot and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face

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STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

STARFlow2 unifies multimodal generation by vertically interleaving a pretrained vision-language model with an autoregressive normalizing flow under shared causal masking, enabling cache-friendly interleaved text-image generation with strong benchmark performance.

Ying Shen, Tianrong Chen, Yuan Gao, Yizhe Zhang and 5 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face

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lenient 2/5
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CoT-Guard: Small Models for Strong Monitoring

CoT-Guard, a 4B-parameter chain-of-thought monitor, detects hidden code-generation objectives via SFT and RL, outperforming larger models including GPT-5.

Nirav Diwan, Han Wang, Berkcan Kapusuzoglu, Ramin Moradi and 5 more

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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
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strict 3/5
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Trimming the Long-Tail of Visual World Modeling Evaluation

Tailor-Bench evaluates visual world models on rare physical interactions via regular, unconventional, and impossible scenarios, revealing long-tail performance gaps and superficial visual-pattern reliance.

Bingxuan Li, Yining Hong, Cheng Qian, Hyeonjeong Ha and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 40 on Hugging Face · Code ★ 1

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Useful Memories Become Faulty When Continuously Updated by LLMs

LLM-updated agent memories degrade with repeated consolidation, often dropping below baselines; retaining raw episodic traces doubles accuracy versus forced consolidation.

Dylan Zhang, Yanshan Lin, Zhengkun Wu, Yihang Sun and 3 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 18 on Hugging Face

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Beyond LLM-Based Reasoning: Lightweight GNNs for Agent Failure Attribution

AFANet uses lightweight GNNs to attribute multi-agent failures via interaction graphs, matching LLM baselines with far lower cost and enabling test-time adaptation.

Ting-Wei Li, Yuanchen Bei, Xiao Lin, Hanghang Tong

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 4/5
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strict 1/5
70%Highly rated
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Monotone Inclusion Approach to Weakly Monotone Discrete-Time Finite-Horizon Mean-Field Games

For discrete-time finite-horizon mean-field games with state-independent transitions and weakly monotone rewards, anchored proximal gradient descent computes mean-field equilibria via monotone inclusions over occupation measures at an O(1/√T) rate without regularization or uniqueness.

Ugur Aydin, Tamer Basar, Naci Saldi

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

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AI panel: 5 of 20 reviewers recommend it
lenient 1/5
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Exact Posterior Score Estimation for Solving Linear Inverse Problems

Exact posterior score estimation derives closed-form posterior scores for linear Gaussian inverse problems, enabling efficient training and sampling that outperforms baselines with far fewer evaluations.

Abbas Mammadov, Ozgur Kara, Kaan Oktay, Iskander Azangulov and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 2/5
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You Can’t Have It Both Ways: Concept Entanglement Limits Diffusion Model Unlearning

Concept entanglement in diffusion models forces a trade-off where robust unlearning of a target necessarily damages overlapping concepts proportionally to their overlap.

Yian Wang, Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 4/5
67%Highly rated
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A Unified Approach for Computing Wasserstein Barycenters of Discrete and Continuous Measures

A primal mirror descent algorithm computes exact Wasserstein barycenters for discrete and continuous measures in Fisher-Rao geometry with convergence guarantees.

Peng Xu, Changbo Zhu, Xiaohui Chen

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

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lenient 2/5
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Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

VisAnomReasoner is a parameter-efficient vision-language model that improves time-series anomaly detection precision and F1 by over 21 points via VisAnomBench fine-tuning with natural-language rationales.

Xiaona Zhou, Tianjiao (Joey) Yu, Muntasir Wahed, Constantin Brif and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
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Neural Signals Generate Clinical Notes in the Wild

CELM is the first clinical EEG-to-language foundation model that generates long-duration EEG clinical reports and outperforms existing methods across all settings.

Jathurshan Pradeepkumar, Zheng Chen, Jimeng Sun

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

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lenient 5/5
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StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video

StableHand estimates world-space dual-hand motion from egocentric video via quality-aware flow matching, cutting W-MPJPE by 20-25% over baselines on occluded benchmarks.

Huajian Zeng, Chaohua Yao, Yuantai Zhang, Jiaqi Yang and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
76%Highly rated
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ReToken: One Token to Improve Vision–Language Models for Visual Retrieval

ReToken introduces one learnable retrieval token that selects sparse visual tokens from long contexts, improving vision-language models by up to 13.4 points on visual retrieval while fitting on a single GPU.

Yao Xiao, Reuben Tan, Zhen Zhu, Yuqun Wu and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 18

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
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When Reasoning Meets Its Laws

This paper proposes Laws of Reasoning (LoRe), a framework formalizing reasoning compute and accuracy laws, plus LoRe-Bench showing models lack compositionality; enforcing compute-law compositionality via finetuning improves reasoning performance.

Junyu Zhang, Yifan Sun, Tianang Leng, Jingyan Shen and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 62 on Hugging Face · Code ★ 38

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
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76%Highly rated
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Optimal Convergence Analysis of DDPM for General Distributions

Under a relaxed smoothness condition, DDPM achieves near-optimal $\tilde O(d\min\{d,L^2\}/T^2)$ KL convergence, improving prior $d^2/T^2$ rates and matching lower bounds.

Yuchen Jiao, Yuchen Zhou, Gen Li

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 4/5
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Thinking in Boxes: 3D Editing in Real Images Made Easy

The method treats 3D box pairs as structured transformation specs for precise real-image editing, outperforming state-of-the-art on large 3D edits.

Pradhaan Bhat, Naveen Chandra R, Rishubh Parihar, Vaibhav Vavilala and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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lenient 5/5
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LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

LangFlow closes the continuous-discrete language-modeling gap via flow matching and a learnable noise schedule, matching discrete diffusion perplexity and exceeding autoregressive zero-shot results on four benchmarks.

Yuxin Chen, Chumeng Liang, Hangke Sui, Ruihan Guo and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face · Code ★ 96

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lenient 3/5
medium 10/10
strict 2/5
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Reward Modeling for Multi-Agent Orchestration

OrchRM uses self-supervised orchestration-level reward modeling to train multi-agent orchestrators, cutting token usage by 10x and boosting accuracy up to 8%.

King Yeung Tsang, Zihao Zhao, Vishal Venkataramani, Haizhou Shi and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift

LESSViT enables robust cross-sensor hyperspectral representation via low-rank spatial-spectral attention, channel-agnostic embeddings, and masked pretraining with decoupled masking and hierarchical sampling.

Haozhe Si, Yuxuan Wan, Yuqing Wang, Minh Do and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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Physics Unrolled Neural Operator for Wireless Field Modeling

PU-HNO predicts high-fidelity indoor radio maps from low-fidelity ray-tracing outputs via a three-stage physics-unrolled cascade that captures reflection, diffraction, and scattering effects, outperforming training labels and baselines.

Rafid Umayer Murshed, Saif U Rahman, Mingyue Tang, Elahe Soltanaghai

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 5/5
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KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling

KV-PRM eliminates text re-encoding by scoring via pre-existing KV caches, reducing process reward modeling cost from quadratic to linear and cutting latency and FLOPs by orders of magnitude.

Peng Kuang, Haibo Jin, Xiaoyu Han, Yanli Wang and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5