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Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

Botos Csaba, Sreejan Kumar, Austin T D Andrews, Laurence T Hunt 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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High Entropy Regularization Leads to Symmetry Equivariant Policies in Dec-POMDPs

Johannes Forkel, Constantin Ruhdorfer, Michael Beukman, Andreas Bulling and 1 more

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

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Multigroup Fairness and Omniprediction: Separations and Equivalences

Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade, Omer Reingold 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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AI panel: 1 of 20 reviewers recommend it
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Trajectory-Consistent Dropout for Uncertainty Decomposition in Hamiltonian Neural Networks

Stephen J Roberts, Yuki Tachibana

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

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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

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On the Pitfalls of Instance-Based Dynamic Curricula

Alexandre Galashov, Amal Rannen-Triki, Yee Whye Teh, Razvan Pascanu and 1 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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The Sign Code: The Hidden Binary Nature of Deep Networks

Niclas A Göring, Shuofeng Zhang, Roi Holtzman, yoonsoo nam and 1 more

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

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Generalization Measures for Deep Learning Should Be Audited for Fragility

Shuofeng Zhang, Ard Louis

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

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Escaping Parameter Space: Tight Generalization Bounds via Representation Quality

Niclas A Göring, Shuofeng Zhang, Branton DeMoss, Ard Louis

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

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LLMs Keep Thinking When Told Not To

Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, Philip Torr 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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Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning

Manshika C Bissessur, Melis Ilayda Bal, Michael Muehlebach

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

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ASO Atlas 2.0: Evaluating antisense oligonucleotide prediction across the preclinical pipeline

Barney Hill, Nicola Whiffin, Carlo Rinaldi, Stephan J Sanders

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

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AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes

Nikhil Branson, Aaron Wenteler, Guy Durant, Charlotte Deane

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

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AI panel: 3 of 20 reviewers recommend it
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Next-Token Prediction Enables Scalable Learning of Sleep Physiology

Jonathan F Carter, Lionel Tarassenko

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

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SynthHair: Leveraging MetaHumans for a High-Quality 4K Hair Matting Dataset

Markus Karmann, Shile Li, Philip Torr, Puneet Dokania 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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UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?

Puning Yang, Qizhou Wang, Junchi Yu, Bo Han 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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AI Control for Sandbagging on Fuzzy Tasks

Mikhail Terekhov, Caglar Gulcehre, Vivek Hebbar, Joe Benton

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

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RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation

Chengzhi Shen, Weixiang Shen, Tobias Susetzky, Chen Chen and 6 more

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

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MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Che Liu, Junde Wu and 10 more

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

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Tight PAC-Bayes Generalisation Guarantees for Large Language Model Safety Monitoring

Tom Lamb, Philip Torr, Tim G. J. Rudner

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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ActO: Extracting Action Representations from MLLM Embeddings for Video World Models

Runjia Li, Minghao Chen, Junyu Xie, Philip Torr 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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As the Story Unfolds: Watching a Film and Identifying Characters as a Human Does

Zhongrui Gui, Junyu Xie, Tengda Han, Weidi Xie 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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Subprocess-Constrained Markov Decision Processes

Jiarui Gan, Debmalya Mandal

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

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IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark

Sai Sidhanth Manoharan Jayanthi, Yash Tripathi, Silu Sharma, Shivank Garg and 1 more

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

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Outlier-Robust Multi-Output Gaussian Processes

Joshua Rooijakkers, Leiv Rønneberg, Francois-Xavier Briol, Jeremias Knoblauch and 1 more

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

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Inter-Agent Influence: Evaluating Persuasion, Deception and Coercion in Multi-Agent Systems

Chandler Smith, Cecilia E Tilli, Qi Guo, Sophia Hatz and 5 more

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

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E0: Expressive Fine-Grained Discrete Action Prediction for Vision-Language-Action Models via Tweedie Discrete Diffusion

Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lyu and 9 more

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

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OccStress: Stress-Testing the 4D Occupancy Forecasting Chain

Yu Zheng, Jie Hu, Jiaqi Xiong, Ruiping Liu 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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Accelerating Neural Network Training with Augmented Koopman Dynamics

Jingyi Huang, Keyan Miao, Kostas Margellos, Paul Goulart

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

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They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification

MENGYU WANG, Ken Deng, Yftah Ziser, Shay Cohen 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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PhysFormer: Learning to Simulate Mechanics in World Space

Yiming Chen, Yushi LAN, Andrea Vedaldi

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

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Track4D: Representing Dense 3D Tracking for Video Diffusion Models

Yushi LAN, Zeren Jiang, Kelvin Zheng Li, Xingang Pan 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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Holo4D: Holistic 4D Reconstruction as Geometric Control for Video Diffusion

Yushi LAN, Zeren Jiang, Koichi Namekata, Xingang Pan and 2 more

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

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Zero-Shot Coordination among LLM Agents

Adrian Hayler, Shashank Reddy Chirra, Andrei Lupu, Johannes Forkel and 3 more

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

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Weird Generalization from Narrow Finetuning: Persona Shifts and Inductive Backdoors

Jan Betley, Jorio Cocola, Dylan Feng, James Chua and 3 more

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

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Multi-Bridge Denoising Diffusion Probabilistic Models

Mélodie Monod, Habib Ganjgahi

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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Learning Acceptable Lotteries via Queries: Minimizing Aggregated Violation Distances

Paul W Goldberg, Nicholas Teh

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

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Task-Driven Bayesian Experimental Design Yields Singly Intractable Objectives for Joint Policy Training

Tom Rossa, Angus Phillips, Thomas Rainforth

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Fiedler-Regularized Causal Discovery for Sparse Connected DAGs

Amine M'Charrak, Abbavaram Gowtham Reddy, Thomas Lukasiewicz, Michael Bronstein and 1 more

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

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Ad-Hoc Teamwork from Human Demonstrations

Darius Muglich, Niklas Lauffer, Tin Dizdarević, Jakob Foerster

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

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MMDiff: Multimodal Model Diffing for Feature Discovery and Control

Lachin Naghashyar, Hunar Batra, Ashkan Khakzar, Philip Torr and 3 more

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

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We Need to Improve Benchmarks in AI for Mathematics

Simon Frieder, Jonas Bayer, Shi Zhuo Looi, Jacob Loader and 14 more

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

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AIs with Secret Loyalties are a Serious but Addressable Threat

Joe Kwon, Alfie Lamerton, Andrew Draganov, Dave Banerjee and 6 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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TrialAgentBench: Evaluating AI Agents for Clinical-Trial Analysis and Long-Horizon Drug-Development Decisions

Bradley M Segal, William J Bolton, Philip Torr, David Clifton and 1 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Memorization Is Folding: Topological Signatures of Noisy-Label Learning

Zhongtian Sun, Fan Mo, Prayag Tiwari, KELIN XIA

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

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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

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EENAS: Zero-Shot Energy-Efficiency-Aware Neural Architecture Search

Zeyu Yang, Wes Armour

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

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Logical Distillation of Transformer Encoders

Matteo Forasassi, Thomas Gärtner, Thomas Lukasiewicz, Sagar Malhotra

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

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FIVE-VLA: Fast and EffectIVE Closed-Loop Autonomous Driving with Recurrent Action Memory

Kemal Oksuz, Alexandru Buburuzan, Yuhan Yao, Puneet Dokania

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 2 of 20 reviewers recommend it
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Git Context Controller: Manage the Context of Agents by Agentic Git

Junde Wu, Minhao Hu, Jiayuan Zhu, Shengda Zhu 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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Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs

Kiarash Shamsi, Farimah Poursafaei, Tran Gia Bao Ngo, Reihaneh Rabbany and 5 more

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

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Anchoring Reasoning Distillation via Syntactic Constraints

Zehua Cheng, Wei Dai, Jiahao Sun

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

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LLM-WikiRace: A Benchmark for Planning and Reasoning over Real-World Knowledge Graphs

Juliusz Ziomek, William Bankes, Lorenz Wolf, Shyam Sundhar Ramesh and 2 more

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

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Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Runjin Chen, Andy Arditi, Henry Sleight, Owain Evans and 1 more

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

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Symmetry Guarantees Statistic Recovery in Variational Inference

Symmetry in variational inference forces approximate minimizers to recover target statistics under misspecification, unifying prior results and yielding new directional guarantees.

Daniel Marks, Dario Paccagnan, Mark van der Wilk

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

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Time-Sensitive Anytime-Valid Testing

A time-sensitive testing-by-betting framework favors early rejection via time-weighted rewards, yielding Bellman-optimal e-processes and an exponential-decay-optimal criterion recovering classical growth-rate optimality at large scales.

Eugenio Clerico, Tobias Wegel, Iskander Azangulov, Patrick Rebeschini

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

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TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs

TokenSwap benchmarks and reduces MLLMs' modality gap by interleaving visual tokens with text, finding reasoning models have smaller gaps and training with TokenSwap mitigates it.

Andong Hua, Colton Bishop, Igor Mordatch, Arian Hosseini and 4 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: 18 of 20 reviewers recommend it
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74%Highly rated
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Probing Persona-Dependent Preferences in Language Models

Linear probes on LLM residual streams identify a shared preference vector tracking pairwise choices across personas, with cross-persona transfer and causal steering.

Oscar Gilg, Pierre Beckmann, Daniel Paleka, Patrick Butlin

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 9 of 20 reviewers recommend it
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