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arXivU Wisconsin–Madison New York Stanford RL for LLMs

Sharpening Tax in Post-Training

Post-training sharpens base model behaviors at the cost of solution coverage, introducing a quantifiable "Sharpening Tax"; a posterior-tempered group sampler reduces this tax while boosting accuracy.

Changdae Oh, Qi Zeng, Qi Qi, Andrey Zhmoginov and 6 more

Published Oct 1, 2026 · 0 citations · ▲ 102 on Hugging Face · Code ★ 25

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arXivU Southern California California Southern Southern States Seoul National New Generation University Colleg Efficient inference & serving

Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs

HeteroFold enables prefill-free cross-family KV cache transfer between frozen heterogeneous LLM agents, accelerating 32K context transfer up to 10.7x while matching text-based multi-agent performance.

Vincent-Daniel Yun, Woosang Lim, Haneul Yoo, Sungjoo Yoo and 2 more

Published Sep 26, 2026 · 0 citations · ▲ 95 on Hugging Face · Code ★ 1

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arXivPathways Behavioral Services New York In-context learning & prompting

BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

BDH-CQ combines in-context learning with recurrent latent reasoning, achieving 29.5% ARC-AGI-1 pass@2 at $0.0007 per task to set a new cost-efficiency frontier.

Björn Engdahl, Adrian Kosowski, Jan Chorowski, Zuzanna Stamirowska and 5 more

Published Aug 10, 2026 · 0 citations · ▲ 797 on Hugging Face · Code ★ 11,072

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arXivNew York Information retrieval

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

AskChem indexes 2.4M atomic chemistry claims with provenance for cross-paper synthesis, achieving 100% resolvable DOIs and highest citation density.

Bing Yan, Gregory Wolfe, Stefano Martiniani, Kyunghyun Cho

Published Jul 30, 2026 · 0 citations · ▲ 308 on Hugging Face · Code ★ 16

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arXivU Washington Texas A&M U Notre Dame U Virginia New York LLM evaluation & benchmarks

MoCo: A One-Stop Shop for Model Collaboration Research

MoCo unifies 26 model collaboration methods and 25 benchmarks to show collaboration outperforms single models in 61% of settings by up to 25.8%.

Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang and 16 more

Published Jan 29, 2026 · 0 citations · Code ★ 63

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ACL 2026U Washington New York Massachusetts Institute of Techn Stanford Test-time compute

When One LLM Drools, Multi-LLM Collaboration Rules

Multi-LLM collaboration outperforms single LLM reasoning on tasks where individual models fail, demonstrating collective rule over solo drooling.

Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang and 9 more

Published 2026 · 1 citation

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EMNLP 2024U Washington New York Alignment & preference optimization

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration

Modular Pluralism plugs specialized community LMs into base LLMs to enable Overton, steerable, and distributional pluralistic alignment across diverse communities.

Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher and 3 more

Published 2024 · 15 citations

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Oncotarget 2016Tongji Shanghai Pulmonary Hospital New York Harvard Dana-Farber Cancer Institute Medical imaging

KDM1A promotes tumor cell invasion by silencing TIMP3 in non-small cell lung cancer cells

KDM1A promotes non-small cell lung cancer metastasis by demethylating H3K4me2 to silence TIMP3, activating MMP2 and JNK to drive invasion.

Lingzhi Kong, Peng Zhang, Wang Li, Yan Yang and 11 more

Published Apr 2, 2016 · 47 citations

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NeurIPS 2026U Oxford Columbia & NYU The University of Oxford MIT U Oxford and University of Bern Alignment & preference optimization

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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NeurIPS 2026U Chicago Kalshi New York Finance & economics

When do Prophets Profit in Prediction Markets?

Anri Gu, Nicole Kagan, Alec Sun, Jibang Wu 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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NeurIPS 2026New York Optimization

On the Last-Iterate Convergence of Clipped Gradient Methods

Zijian Liu

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

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NeurIPS 2026SpotlightNew York Carnegie Mellon U Illinois at Urbana-Champaign CMU & MBZUAI Quantization

Requential Coding: Measuring Model Compressibility by Coding Data Instead of Parameters

Shikai Qiu, Marc Finzi, Yujia Zheng, Kun Zhang 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 2026New York LLM pretraining & scaling laws

Token-Conditional Expert Dropout: Implicit Regularization for Stable MoE Pretraining

Haili Wang

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

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NeurIPS 2026SpotlightNew York Labs For Humanity Genomics & single-cell

Deep Generative Models for Phylogenetic Inference with Complex Evolutionary Processes

Ethan Baron, Alan Amin, Andrew Wilson

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

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NeurIPS 2026Tsinghua Tsinghua University, Tsinghua New York Infinigence AI Time series forecasting

Decomposing Temporal and Job-Induced Dynamics for Probabilistic Computing Workload Forecasting via Graph-Conditioned Dual-Branch Diffusion

Baozhen Luo, Minbo Ma, Honglin Zhang, Yuan Yuan 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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NeurIPS 2026Johns Hopkins New York NYU Shanghai / NYU Texas A&M Johns Hopkins Vision-language models

Reading, Not Thinking: Bridging the Modality Gap When Text Becomes Pixels

Kaiser Sun, Xiaochuang Yuan, Hongjun Liu, Chen Zhao and 3 more

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

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NeurIPS 2026Dartmouth College Virginia Tech New York Multi-agent LLM systems

Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries

Enpei Zhang, Feiyu Qu, Zheng Huang, Dawei Zhou 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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NeurIPS 2026U California, San Diego UCSD U California San Diego New York Purdue LLM reasoning & chain of thought

Reasoning Pathologies in Large Language Models: A Diagnostic Perspective

Rohan Surana, Junda Wu, Sheldon Yu, Gagan Mundada 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 2026U California, San Diego U Michigan - Ann Arbor New York UCSD U New South Wales LLM agents & planning

The Geometry of Agent Skills: Non-Commutative Composition in Representation Space

Junda Wu, Yifan Wang, Zihan Huang, Xunyi Jiang 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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NeurIPS 2026New York Explainable AI

Can LLMs explain themselves truthfully with code?

Nhi Nguyen, Shauli Ravfogel, Rajesh Ranganath

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

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NeurIPS 2026Independent Researcher Peking Amazon Carnegie Mellon U California, San Diego Web & GUI agents

From Click Imitation to Transition Equivalence: Rethinking Supervision for GUI Agents

Zhiming Lin, Tianxiang Xu, zizhao zhang, Yixue Liu 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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NeurIPS 2026Google DeepMind Imperial College London Forward College Google HeriotWatt LLM evaluation & benchmarks

Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness

Elizaveta Tennant, Benjamin Henke, Anita Keshmirian, Murray Shanahan and 4 more

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

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NeurIPS 2026New York Amazon AutoML & architecture search

Scaling Arbitrary Architectures and Optimizers with Automatic Parameterization

Shikai Qiu, Charlie Chen, Andres Potapczynski, Martin Marek and 1 more

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

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NeurIPS 2026U Michigan Guide Labs Prescient Design / Genentech NYU Prescient Design, Genentech RL for LLMs

Are Easier or Harder Examples Better? Rethinking Data Selection for Reward Models and Preference Optimization

Kevin Christian Wibisono, Aya Ismail, Pedro O. Pinheiro, Yixin Wang and 3 more

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

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NeurIPS 2026MIT Carnegie Mellon New York OpenAI Massachusetts Institute of Techn Game playing

A Regularization-Based Approach to Public Belief State Search for Adversarial Games

Sobhan Mohammadpour, Samuel Sokota, Brandon Kaplowitz, Zico Kolter 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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NeurIPS 2026Dartmouth College Carnegie Mellon New York LLM reasoning & chain of thought

When Form Changes but Logic Doesn’t: Building Logic-invariant LLMs through Structures

Xuyuan Liu, Xinshuai Dong, Elynn Chen, Yujun Yan

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

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NeurIPS 2026Technion New York Courant Institute of Mathematica KAIST Event sequences

Competing Event Models: Next Event Prediction Under Interventions

Yoav Wald, Xiang Gao, Sumit Chopra, Juho Lee 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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NeurIPS 2026UC Berkeley Jaypee University of Information New York IIT roorkee U Oxford LLM evaluation & benchmarks

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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NeurIPS 2026Duke Amazon New York Georgia Institute of Technology Amazon AGI Labs Web & GUI agents

Beyond Task Success: Probing Cognitive Primitives in Web Agents

Xunjian Yin, Tianchen Guan, Jinao Wang, Weili Cao and 7 more

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

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NeurIPS 2026New York Locomotion

Neural Circuit Architectural Priors for Rat Locomotion

Nikhil Bhattasali, Jaron Cui, Lerrel Pinto, Grace Lindsay

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

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NeurIPS 2026Flatiron Institute Simplex New York Time series forecasting

Linear approximations to HMM filtering

Andrew Mah, Joshua L Pughe-Sanford, Sarah Harvey, Alex Williams

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

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NeurIPS 2026New York Bandits & online learning

On the Impact of Side-Information in Bandit Learning: More is Not Always Merrier

Ramakrishnan Krishnamurthy

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

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NeurIPS 2026New York NYU Shanghai Distribution shift & OOD detection

Distributionally Robust Mixture-of-Experts Training

Xin Teng, Muxiao Li, Hongyi Wen

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

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NeurIPS 2026KAIST Mila - Quebec Artificial Intelli New York LawZero / Mila / U. Montreal Bayesian & probabilistic methods

Probabilistic Recursive Reasoning

Junyeob Baek, Mingyu Jo, Minsu Kim, Mengye Ren and 2 more

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

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NeurIPS 2026New York NYU Controllable generation

Active Learning of Conditional Generative Models via the Transport Neural Tangent Kernel

Jayoung Ryu, Kyunghyun Cho, Romain Lopez

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

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NeurIPS 2026New York Cold Spring Harbor Laboratory Deep learning theory

A Control-Theoretic Approximation to Predictive Coding Dynamics

Ryan Fayyazi, Kyle Daruwalla, Mitra Javadzadeh

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

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NeurIPS 2026U Illinois at Urbana-Champaign U California, San Diego U Illinois Urbana-Champaign New York UIUC LLM evaluation & benchmarks

Your Benchmark Is an Empirical Measure Over Difficulty

Yifan Sun, Naicheng Yu, Jiawen Gong, Jingyan Shen and 1 more

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

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NeurIPS 2026SpotlightFauna Robotics New York Amazon Meta Reality Labs Locomotion

Whole-Body Compliant Control via Learned Force-Regulation Modules

Diego Aldarondo, Aadhithya Iyer, Daniel Giebisch, Nina Mortensen and 3 more

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

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NeurIPS 2026SpotlightNew York Amazon Web Services Department of Computer Science, Amazon NVIDIA AI oversight & deception

nnTrace: Detecting and Localizing Silent Bugs in Distributed Training

Haitian Jiang, Shaowei Zhu, Zhen Zhang, Zhenyu Song and 4 more

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

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NeurIPS 2026New York U Massachusetts at Amherst Pinecone U Massachusetts Amherst Information retrieval

On Worst-Case Guarantees for Graph-Based Nearest-Neighbor Search

Majid Daliri, Mohammadreza Daneshvaramoli, Purna Dutta, Edo Liberty and 3 more

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

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