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Showing papers from McGill University Show all papers

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arXivU California, Los AngelesMila - Quebec Artificial IntelliMcGillLLM pretraining & scaling laws

Cross-Lingual Alignment for Decoder-Only Models using MoE Routers

Cross-lingual MoE router alignment improves multilingual LLM performance by aligning router outputs across languages instead of hidden states.

Lucas Bandarkar, Clark Peng, Ahmed Haj Ahmed, Aditi Khandelwal and 1 more

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

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91%Must read
arXivRutgers, The State University ofU California San DiegoU MichiganMcGillKing Fahd University of PetroleuLLM agents & planning

False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents

Self-evolving search agents suffer co-cheating where proposers and solvers mutually reinforce errors; CrossFit partitions sources to cross-fit agreement and cuts false agreement by over half, boosting downstream search by 8+ points.

Meijia Chen, Hao Li, Zheng Lu, Hongshan Lin and 11 more

Published Sep 30, 2026 · 0 citations · ▲ 670 on Hugging Face

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AI panel: 17 of 20 reviewers recommend it
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NeurIPS 2026McGillVision-language models

Pixels over Symbols: Sensory Realism Improves Behavioral Alignment in Models of Cognition

Mark Bai, Xiaoxuan Lei, Zihan Weng, MOTAHAREH POURRAHIMI 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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NeurIPS 2026Université de MontréalMcGillUniversité de Montréal Video understanding

Emotion-Trained Vision Models Do Not Necessarily Learn EEG-Aligned Facial Dynamics

Maryem Benslimane, Hamza Abdelhedi, Vanessa Hadid, Karim Jerbi

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

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NeurIPS 2026MILA & McGillMcGillMila - Quebec AI Institute, UnivMila / École Polytechnique de MoMcGill University / Mila / DeepMExploration

Addressing Sparse-Rewards in RL with Scalable Hierarchical Novel Eigen Options

Priyesh Vijayan, Élodie Côté-Gauthier, Mathieu Reymond, Sarath Chandar 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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NeurIPS 2026ETH Zurich / Max Planck InstitutCornellMcGillETH ZürichTest-time compute

A Model of Diverse Sampling from Language Models

Manuel Prada-Corral, Yahya Emara, Timothy O'Donnell, Ryan Cotterell 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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NeurIPS 2026The Chinese University of Hong KMcGillU ManitobaOptimization

Orthogonal Updates for the Win: Towards Accelerated Adaptive Minimax Optimization

Zhiwei Zhai, Xinyu Wang, Wenjing Yan, Lei Ding 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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NeurIPS 2026The Hong Kong PolytechnicMcGill University & Mila - QHong Kong PolytechnicTongji universityTongjiDeep RL

Preference-Guided Adversarial Policy Optimization for Long-Tail Robust Driving

Tong Nie, Yihong Tang, Junlin He, Yuewen Mei and 4 more

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

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NeurIPS 2026McGill University & MilaMcGillLong-context modeling

GEAR: Generator-Adaptive State Space Models for Associative Recall

Jun Meng, Mohammadhossein Amouei, Zengyu Lin, Xinyu Hu 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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NeurIPS 2026OhioU Wisconsin - MadisonMcGillMcGillNorthwesternClinical NLP & EHR

SMI: Semantic Medical ID for Hierarchy-Aware Concept Representation

Ziyang Song, Lia Shen, Yixuan Li, Qincheng Lu and 5 more

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

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NeurIPS 2026McGillGeorgia StateOhioMedical LLMs

Severity-Controlled Prediction Sets for Medication Recommendation

Yu Gu, Zijun Yu, Chi-Kuang Yeh, Xinyu Wang and 1 more

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

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NeurIPS 2026UTexas Austin, McGill, MILACornellMcGillMcGill University, McGillMcGill University / Mila / DeepMVideo understanding

The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks

Shuo Wen, Beixi Du, Edwin Meriaux, Junming Shi and 4 more

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

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NeurIPS 2026Mila - Quebec AI Institute, McGiUniversité de SherbrookeMcGillMcGill University | Mila | UbisoMILA, McGillText classification

From Claims to Context: Holistic Information Verification Requires Contextual Signals

Emma Kondrup, Islam Eldifrawi, Tong Wu, Zachary Yang and 5 more

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

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NeurIPS 2026McGillMcGillILLS and MILA | CNRS Paris-SaclAmazonTime series forecasting

DynaPFN: Zero-Shot Dynamical System Forecasting with Tabular Prior-Fitted Networks

Chiara Roverato, Joseph Cotnareanu, Pablo Piantanida, Boris Oreshkin 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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NeurIPS 2026Karlsruhe Institute of TechnologMcGillKITAmazonTime series forecasting

SLiDE: Structured Linear Dynamics for Forecasting with Exogenous Inputs

Sebastian Pütz, Theodore Glavas, Benjamin Schäfer, Boris Oreshkin 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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NeurIPS 2026U ManitobaMcGillMcGill, MilaUT DallasMila - Université de MontréalDynamic graphs

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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NeurIPS 2026Esker / INSA Lyon / LIRISSeoul National University, SeoulMcGillOhio State University, ColumbusMcGill University, McGillAgent benchmarks & environments

WebArena-Pro: A Heterogeneous, Multimodal, Reproducible Benchmark for Web Agents

Imene Kerboua, Fatemeh Pesaran Zadeh, Xing Han Lu, Weijian Qi and 18 more

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

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NeurIPS 2026U Texas at AustinTheseus AI Labs, Inc.Theseus AI LabsMcGillThe University of Texas, AustinLLM evaluation & benchmarks

TensorCommitments: A Lightweight Verifiable Inference for Large Language Models

Oguzhan Baser, Elahe Sadeghi, Eric Wang, Nico Vergauwen and 4 more

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

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NeurIPS 2026SpotlightMcGillU Tennessee, KnoxvilleMcGill & MBZUAICalifornia Institute of TechnoloMBZUAINavigation & SLAM

GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning

GeoWind2Plan predicts mission-time 3D urban wind via neural operators to enable energy-efficient UAV planning in seconds, reducing energy by up to 12.7% versus wind-agnostic paths.

Shaoxiang Qin, Xiongye Xiao, Yucheng Zhao, Fuyuan Lyu and 5 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 3/5
83%Must read
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NeurIPS 2026Mila / Université de MontréalMila - Quebec Artificial IntelliMcGillU Montreal, MilaMila, U. MontrealDeep RL

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

Predictive representation learning combined with high-capacity value approximation drives scalable multitask RL, with the simple model-free MR.Q outperforming world-model methods across continuous control tasks.

Johan Obando Ceron, Lu Li, Scott Fujimoto, Pierre-Luc Bacon 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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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
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