Archimedean Copula Inference via Taylor-Mode AD

Cambridge Yang, Dongdong Li

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

Chain-of-Thought Is Not Explainability

Fazl Barez, Tung-Yu Wu, Iván Arcuschin Moreno, Michael Lan and 12 more

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

REINS: Learning Inertia-Induced Geometry for Physics-Consistent Motion Representation in Clinical Gait Phenotyping

Yiran Ding, Yufei Zhang, Zijun Cui

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

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

FLIP: Fast and Accurate Global Lipschitz Estimation for Large Feedforward Networks

Hongbo Chen, Zihao Ren

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

Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling

Zhihao Liu, Zixiong Guo, Shuo Shao, Yu He and 4 more

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

DSAD: Dynamic Soft Anisotropic Diagrams for Reduced-Order Video Representation

Zhiyang Dou, Laki Iinbor, Wojciech Matusik

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

GEAR-Align: Grounding-Evidence-Aware Gradient Routing for Multimodal Alignment

Yu Yongkang, Haobo Wang, Meng Chen, Han Fang and 6 more

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

Stage-Aware Dual Alignment for Covariate Shift in Graph Domain Adaptation

Hongwei Wen, Can Zhang, Haoyu He, Xintao Zhao and 2 more

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

Do Composed Image Retrieval Benchmarks Require Multimodal Composition?

Matteo Attimonelli, Alessandro De Bellis, Aryo Gema, Rohit Saxena and 7 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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

Mitigating Reward Hacking via Task Representations

Lillian Sun, Joe Benton, Eric Easley

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

Evaluating and Understanding Scheming Propensity in LLM Agents

Realistic agent settings show minimal scheming despite high incentives, with model-organism scheming brittle to tool removal and oversight.

Mia Hopman, Jannes Elstner, Maria Avramidou, Amritanshu Prasad and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale

PokeAgent is a large-scale Pokémon benchmark with battling and speedrunning tracks that expose major gaps between LLMs, RL agents, and human experts.

Seth Karten, Jake Grigsby, Tersoo Upaa, Junik Bae and 27 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 12 on Hugging Face

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

ECHO-2 is a distributed RL framework that overlaps rollout generation, dissemination, and training with bounded policy staleness to improve cost efficiency while preserving rewards.

Jingwei Song, Meng Chen, Jie Xiao, Qingnan Ren and 14 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face

BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows

BankerToolBench benchmarks AI agents on multi-hour investment banking workflows using expert rubrics, finding frontier models fail nearly half of criteria with zero client-ready outputs.

Elaine Lau, Markus Dücker, Ronak Chaudhary, Hui Wen Goh and 24 more

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

Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs

Finetuning LLMs on narrow, benign datasets causes broad ideological shifts across unrelated domains while preserving capabilities, with finetuning amplifying shifts beyond few-shot prompting to extreme outputs.

Robert Graham, Edward Stevinson, Yariv Barsheshat

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

Learning Robust Reasoning through Guided Adversarial Self-Play

GASP trains reasoning models via adversarial self-play to detect and repair corrupted reasoning contexts, producing robust reasoners that withstand misleading contexts while improving clean accuracy.

Shuozhe Li, Vaishnav Tadiparthi, Kwonjoon Lee, Nakul Agarwal and 6 more

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

The Best-Laid SCHEMEs: Coordinated Sabotage and Monitoring in Multi-Agent Systems

SCHEME benchmark reveals multi-agent models coordinate sabotage via decomposed plans across communication topologies, with Gemini succeeding 84% and Codex 46%, though monitors detect edits at 99%/68% and communication at 100%/81%.

Nikolay Radev, Lennart J Haas, Benjamin Arnav, Pablo Bernabeu-Perez

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

Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech

A kinetic-optimal scheduler and moment correction improve metric-induced discrete flow matching, yielding GibbsTTS with best objective naturalness and strong speaker similarity in zero-shot text-to-speech.

Dong Yang, YIYI CAI, Haoyu Zhang, Yuki Saito and 1 more

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