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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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StarCraft Motion: A Dataset for Agent Simulation in Adversarial and Partially Observable Scenarios

Yi-Chung Chen, Mingyu Kim, Ruqi Bai, James Z Hare and 2 more

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

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Bridging 1D, 2D, and 3D with Any-to-Any Multimodal Modeling

Jason Toskov, Oriol Barbany, Rishubh Singh, Jinya Sakurai and 9 more

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

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The Communication Bottleneck: A Round-Trip Study of Compositional Serialization in Language Models

Xavier Suau, Alex Ferrando, Luca Zappella, Samy Bengio

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

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Too Smart to Teach: The Articulability Ceiling in Language Models

Shervin Ghasemlou

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

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Robust Graph Diffusion Model

Yancheng Wang, Ping Li, Dongfang Sun, Yingzhen Yang

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

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Split-and-scale Latent 3D Representations

Dorian Chan, Muhammed Kocabas, Xiaoming Zhao, Oncel Tuzel 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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TabK: Amortized Bayesian Estimation of the Number of Clusters in Tabular Data

Mohammadreza Bakhtyari, Bogdan Mazoure, Renato C de Amorim, Guillaume Rabusseau 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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PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning

Feijie Wu, Weiwu Zhu, Yuxiang Zhang, Soumya Chatterjee and 4 more

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

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On the Efficiency of Structured Pruning in Small Language Model Pretraining

Yixiao Li, Xianzhi Du, AJAY JAISWAL, Tao Lei and 3 more

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

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57%Worth a look
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TaxaAdapter: Scaling Fine-grained Species Image Generation To the Tree of Life

Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney and 8 more

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

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Expanding LLM Agent Boundaries with Strategy-Guided Exploration

Strategy-Guided Exploration improves LLM agent reinforcement learning by planning in language strategies rather than actions, boosting performance across UI, tool, coding, and embodied tasks.

Andrew Szot, Michael Kirchhof, Omar Attia, Alexander Toshev

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
72%Highly rated
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NeurIPS 2026AppleYalePrivacy

Understanding Private Evolution as Learning-Augmented Clustering

Private Evolution is recast as learning-augmented clustering to derive tighter bounds via generative models and propose a geometry-aware variant with convergence guarantees.

Audra McMillan, Kunal Talwar, Felix Zhou

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

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
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TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks

TGPO decomposes signal temporal logic into timed subgoals and invariant constraints for hierarchical reinforcement learning, achieving 31.6% higher success rates than baselines on complex long-horizon robotics tasks.

Yue Meng, Fei Chen, Chuchu Fan

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 2

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
89%Must read
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Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning

Penalized DRO reformulates adversarial risk via optimal transport maps that are cyclically monotone, and enforcing this property via multi-start particle ascent or input-convex networks improves robustness over standard adversarial training.

alireza abdollahpour, Ehsan Sharifian, Buse Şen, Marco Cuturi 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 panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 3/5
71%Highly rated
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Faster Rates For Federated Variational Inequalities

Refined analysis and a new LIPPAX algorithm improve federated stochastic variational inequality convergence rates and reduce client drift.

Guanghui Wang, Satyen Kale

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

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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 1/5
78%Highly rated
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Locking Pretrained Weights via Deep Low-Rank Residual Distillation

DLR-Lock replaces MLP weights with deep low-rank residual networks to impose linear backprop memory growth and disrupt optimization, blocking adaptive fine-tuning while preserving model capabilities.

Keitaro Sakamoto, Pierre Ablin, Federico Danieli, Marco Cuturi

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

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lenient 4/5
medium 6/10
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83%Must read
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BalCapRL : A Balanced Framework for RL-Based MLLM Image Captioning

BalCapRL balances RL for MLLM captioning across correctness, coverage, and fluency via normalized multi-objective rewards and length masking, boosting quality metrics substantially.

Shaokai Ye, Vasileios Saveris, Yihao Qian, Jiaming Hu and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 4 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
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89%Must read
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LensVLM: Selective Context Expansion for Compressed Visual Representation of Text

LensVLM lets VLMs scan compressed rendered text and selectively expand only relevant regions via learned tools, maintaining near-full accuracy at 4.3x compression and outperforming baselines up to 10.1x across text QA benchmarks.

Roy Xie, Dan Friedman, Donghan Yu, Bowen Pan and 6 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
86%Must read
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Theoretical Limits of Language Model Alignment

Optimal alignment gains follow a Jeffreys-divergence limit, best-of-N approaches it, and reward hacking grows with error while ensembling mitigates it.

Lucas Monteiro Paes, Natalie Mackraz, Barry-John Theobald, Federico Danieli

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5
83%Must read
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CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool Use

CM2 replaces verifiable outcome rewards with checklist rewards for multi-turn tool-use RL, improving 8B models by 8, 12 points on agent benchmarks using simulated environments.

Zhen Zhang, Kaiqiang Song, Sean Wang, Yebowen Hu and 10 more

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

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lenient 5/5
medium 8/10
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83%Must read
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AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting

AME-TS guides sparse mixture-of-experts routing via temporal structure descriptors to improve forecasting accuracy and specialization stability with fewer activated parameters.

Rui Wang, Renhao Xue, Ray Razi, Huan Song and 1 more

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

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lenient 4/5
medium 9/10
strict 0/5
78%Highly rated
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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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lenient 3/5
medium 7/10
strict 1/5
72%Highly rated
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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
medium 6/10
strict 0/5
74%Highly rated
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Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility

Algorithms preserve accurate subpopulation classification rates and enable loss minimization, but simultaneously achieving both is computationally infeasible despite Bayes-optimal feasibility.

Noga Amit, Omer Reingold, Guy Rothblum

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

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lenient 2/5
medium 5/10
strict 2/5
76%Highly rated
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TIDE: Every Layer Knows the Token Beneath the Context

TIDE injects token identity into every layer via EmbeddingMemory to fix rare-token undertraining and contextual collapse, improving language modeling and downstream performance.

AJAY JAISWAL, Lauren Hannah, Han-Byul Kim, Duc Hoang and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 9 on Hugging Face

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lenient 3/5
medium 7/10
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86%Must read
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NeurIPS 2026AppleRL for LLMs

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models

DACA-GRPO improves diffusion language model RL via denoising progress scores and stratified masking likelihood, boosting math, code, and constraint benchmarks by up to 36.3pp.

Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade, Lokesh Boominathan 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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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
76%Highly rated
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Heterogeneous Agent Collaborative Reinforcement Learning

HACRL enables heterogeneous agents to share verified rollouts during collaborative on-policy training and execute independently at inference, with HACPO improving all agents by 3.6% over baselines at half the rollout cost.

Zhixia Zhang, Zixuan Huang, Gonxun Li, Huaiyang Wang and 8 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 110 on Hugging Face

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
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80%Must read
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The Design Space of Tri-Modal Masked Diffusion Models

A tri-modal masked diffusion model pretrained from scratch on text, image-text, and audio-text data achieves strong cross-modal generation and introduces an SDE-based batch-size reparameterization.

Louis Bethune, Victor Guilherme Turrisi da Costa, Bruno Mlodozeniec, Pau Rodriguez and 20 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5
83%Must read
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Action Images: End-to-End Policy Learning via Multiview Video Generation

Action Images formulates robot policy learning as multiview video generation using interpretable pixel-grounded action images, enabling zero-shot control without separate policy heads and improving video-action joint generation.

Haoyu Zhen, Zixian Gao, Qiao Sun, yilin zhao and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
78%Highly rated
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SkipSR: Faster Super-Resolution with Token Skipping

SkipSR accelerates diffusion video super-resolution by skipping low-detail regions identified in low-resolution inputs, achieving up to 60% faster latency without quality loss.

Rohan Choudhury, Shanchuan Lin, Jianyi Wang, Hao Chen and 5 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
medium 6/10
strict 0/5
88%Must read
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From History to State: Constant-Context Skill Learning for LLM Agents

Constant-context skill learning embeds recurring agent workflows into lightweight modules via step-level SFT and online RL, cutting prompt tokens 2-7x while matching state-of-the-art success on ALFWorld, WebShop, and SciWorld.

Haoyang Xie, Xinyuan Wang, Yancheng Wang, Puda Zhao 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: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
86%Must read
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Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

Trajectory-Shaped Discrete Flow Matching guides discrete flow matching training via an energy-based midpoint evaluator, letting small students outperform large teachers with 32% lower perplexity at 128x speed.

Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade, Manuel R Ciosici and 2 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5