Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning

Boyang Li, Matthew Kim, Sylvia Herbert

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

Compressible Representations: Functional Spines in Deep Neural Networks

Niranjan Rajesh, Meenakshi Khosla

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

HorizonComposer: Spatiotemporally Consistent Driving Video Editing with Enriched Traffic Semantics

Mauricio Soroco, Yuqiu Liu, Zaid Tasneem, Francesco Pittaluga and 4 more

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

Geometrically Disentangling Concept Learning from the Language Modeling Loss

Yupei Wang, Neil R Mallinar, Misha Belkin, Alex Warstadt

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

TRACE: Trajectory-Aware Conceps for Explainable Video Understanding

Wooil Lee, Junpyo Hong, Jongseo Lee, Tuomas Oikarinen and 2 more

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

Mental-Models for Multi-Agent Systems

Hanan Gani, Lulu Shao, Manmohan Chandraker

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

Generalizing Action-Conditioned Latent World Models with Video Model Rewards

Haichao Zhang, Yijiang Li, Shwai He, Van T Le and 2 more

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

Concise Reasoning Through the Lens of Lagrangian Optimization

Chengqian Gao, Haonan Li, Taylor Killian, Jianshu She and 5 more

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

PhyTS: A Benchmark for Scientific Time Series

Benedict Armstrong, Jeroen Audenaert, Hannah P Binney, Alice Cheng and 22 more

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

Who Wrote This Paper? Autonomous Scientific Discovery for 3DGS Research

Seemandhar Jain, Manmohan Chandraker

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

Correct, Route, Calibrate: Efficient Preference Optimization from Noisy, Heterogeneous Human Feedback

Zhongming Xie, Xinwei Ma, Jingshen Wang

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

Unified Generative-Predictive Modeling for 4D Scene Understanding

Amani Kiruga, Zhiyi Li, Ruojin Cai, Hansen Lillemark and 3 more

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

LLM Agents Already Know When to Call Tools - Even Without Reasoning

When2Tool finds LLMs linearly encode tool necessity in hidden states, and Probe&Prefill uses this to cut unnecessary tool calls by 48% with minimal accuracy loss.

Chung-En Sun, Linbo Liu, Ge Yan, Zimo Wang and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 16

DD-Ranking: Rethinking the Evaluation of Dataset Distillation

DD-Ranking reveals dataset distillation gains come from extra evaluation techniques rather than image quality, proposing fair metrics to assess true synthetic dataset value.

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang and 36 more

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

Distance Marching for Generative Modeling

Distance Marching improves time-unconditional generative models via distance-focused losses and inference, surpassing flow matching FID with fewer steps and aiding OOD detection.

Zimo Wang, Ishit Mehta, Haolin Lu, Xunpeng Huang and 4 more

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

Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning

Equilibrium Forcing removes noise conditioning from video diffusion to enable adaptive closed-loop inference that improves generation quality and consistency.

Hansen Lillemark, Alex Rojas, Zachary Novack, Runqian (Ray) Wang and 4 more

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

SimSD: Simple Speculative Decoding in Diffusion Language Models

SimSD proposes a plug-and-play masking strategy that enables token-level speculative decoding in diffusion language models, achieving up to 7.46x faster throughput without training.

Junxia Cui, Haotian Ye, Runchu Tian, Hongcan Guo and 8 more

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

AdaCodec: A Predictive Visual Code for Video MLLMs

AdaCodec uses predictive visual codes to send full reference frames only when unpredictable, cutting video MLLM tokens by 7x while improving long-video benchmark scores and reducing latency.

Haowen Hou, Zhen Huang, Zheming Liang, Qingyi Si and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Live Music Diffusion Models modify diffusion inference with block-wise KV caching to surpass discrete autoregressive efficiency, enabling stable alignment via ARC-Forcing and real-time interactive generation on consumer hardware.

Zachary Novack, Stephen Brade, Haven Kim, Hugo Flores and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 50

Handwriting decoding as a challenging motor task for EEG Foundation Models

Handwriting decoding evaluates EEG foundation models, revealing confounded datasets and inferior performance versus smaller specialist models despite scaling.

Srinivas Ravishankar, Ishayu Ghosh, Nora Zajzon, Teng (Simon) Fei and 1 more

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

Generative OOD-regularized Model-based Policy Optimization

GORMPO integrates generative density estimation into model-based offline RL to restrict policy updates to high-density dataset regions, improving performance by 17% on medical data while linking OOD detection quality to policy gains under stable dynamics.

Aysin Tumay, Jiahe Huang, Elise Jortberg, Rose Yu

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

Steer2Edit: From Activation Steering to Component-Level Editing

Steer2Edit converts inference-time activation steering into training-free, component-level rank-1 weight edits that improve safety, truthfulness, and reasoning efficiency over global interventions.

Chung-En Sun, Ge Yan, Zimo Wang, Lily Weng

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

AgentKVShift: Efficient KV Cache Reuse for Agentic Memory Systems

AgentKVShift uses probe-guided KV residual correction to reuse agentic memory caches with near-full accuracy at 10-30% recompute, yielding 2-3.5x prefill speedups.

Nilesh Pandey, Jason Kong, Lanxiang Hu, Quanling Zhao and 4 more

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

Calibrating LLMs with Semantic-level Reward

Calibration with Semantic Reward improves LLM calibration by replacing token-level confidence with direct semantic-space rewards, reducing ECE by up to 40% and raising AUROC by up to 31%.

Fengfei Yu, Ruijia Niu, Dongxia Wu, Yian Ma and 1 more

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

Hallucination in World Models is Predictable and Preventable

World models hallucinate in low-coverage state-action regions, and coverage-aware sampling plus curiosity rewards detect and mitigate it with minimal data.

Nick Hansen, Xiaolong Wang

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