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91%Must read
arXivU Wisconsin–MadisonNew YorkStanfordRL 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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AI panel: 17 of 20 reviewers recommend it
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medium 10/10
strict 3/5
89%Must read
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arXivGoogleU North Carolina Health CareStanfordWashington University in St. LouLLM agents & planning

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

RRSI regularizes recursive agent harness self-improvement via annealed edit budgets, trajectory exploration, and critical selection to boost out-of-distribution performance and reduce token use. It improves up to 14.1 points in-distribution and 4.7 points out-of-distribution while cutting policy tok

Peng Xia, Rujun Han, Zifeng Wang, Yanfei Chen and 10 more

Published Sep 21, 2026 · 0 citations · ▲ 222 on Hugging Face · Code ★ 1,293

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
83%Must read
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arXivU WashingtonStanfordLLM pretraining & scaling laws

Scaling Participation in Modular AI Systems

Modular participatory AI combines small stakeholder-trained models into compositional systems that outperform monolithic LLMs by up to 15.4% and exhibit emergent collaborative capabilities.

Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer and 2 more

Published Jun 5, 2026 · 0 citations

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
67%Highly rated
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ACL 2026U WashingtonNew YorkMassachusetts Institute of TechnStanfordTest-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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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
70%Highly rated
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ACL 2025U WashingtonStanfordEthics & social impact

Biased LLMs can Influence Political Decision-Making

Biased LLMs influence political decision-making, altering judgments and choices in simulated policy scenarios with measurable partisan effects.

Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson and 5 more

Published 2025 · 13 citations

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AI panel: 4 of 20 reviewers recommend it
lenient 3/5
medium 1/10
strict 0/5
89%Must read
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arXivU California, BerkeleyStanfordU California San DiegoEfficient inference & serving

Efficient Memory Management for Large Language Model Serving with PagedAttention

PagedAttention applies OS virtual memory and paging to LLM key-value caches, reducing waste and duplication to boost vLLM throughput 2-4x over existing systems.

Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng and 5 more

Published Sep 12, 2023 · 50 citations · ▲ 76 on Hugging Face · Code ★ 86,094

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16/21 AI panelreviewers recommend it

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AI panel: 16 of 21 reviewers recommend it
lenient 5/5
medium 8/11
strict 3/5
45%Niche pick
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NeurIPS 2026StanfordMolecules & drug discovery

GlycoGen: Crystallizing Flows for De Novo Glycan Structure Prediction

Romain Lacombe

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

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NeurIPS 2026StanfordToyota Technological Institute aRL for LLMs

A Theoretical Framework for Self-Play Theorem Proving Algorithms

Thomas Chen, Zhiyuan Li

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

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NeurIPS 2026OralUniversitys of WaterlooU WaterlooStanfordYaleSemi- & weakly supervised learning

Surprises in Proper Positive-Only Learning

Shai Ben-David, Farnam Mansouri, Anay Mehrotra, Manolis Zampetakis

Sydney Poster Session 1, Tue, Dec 8, 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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strict 1/5
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NeurIPS 2026StanfordSemi- & weakly supervised learning

Partially Performative Prediction

Jaewook Lee, Tijana Zrnic

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

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NeurIPS 2026StanfordSwiss Federal Institute of TechnGoodfireAdversarial robustness

Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity

Satchel Grant, Victor Gillioz, Jake Ward, Tom McGrath

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

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57%Worth a look
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NeurIPS 2026Stanford University, Department StanfordStanfordBayesian & probabilistic methods

An exact information theory of generalization phase transitions in Bayesian diffusion models

Henry Hunt, Mason Kamb, Surya Ganguli

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

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NeurIPS 2026Carnegie MellonStanfordLearning theory

Bentkus-type asymptotic e-values

Diego Martinez Taboada, Ben Chugg, Aaditya Ramdas

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

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NeurIPS 2026YaleStanfordLLM reasoning & chain of thought

Reasoning with Sampling: Cutting at Decision Points

Felix Zhou, Anay Mehrotra, Quanquan C Liu

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

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NeurIPS 2026PekingByteDanceStanfordThe Chinese University of Hong KMassachusetts Institute of TechnVideo generation

Spatially-Grounded Long Video Generation with Self Geometry Forcing

Chenguo Lin, Panwang Pan, Bowen Xue, Ruijie Lu and 4 more

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

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lenient 1/5
medium 0/10
strict 0/5
69%Highly rated
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NeurIPS 2026StanfordStanfordStanford University / Virtue AIAlignment & preference optimization

Behaving Better, Thinking Worse: Sycophancy Across Post-Training Stages

Sonnet Xu, Kritika Singh, Sheharbano Jafry, Roxana Daneshjou and 1 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: 3 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 1/5
67%Highly rated
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NeurIPS 2026HarvardStanfordJilinByteDance Inc.Vision-language models

Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation

Haoran Ma, Jiechao Gao, Shisong Tang, bing han 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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lenient 2/5
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strict 0/5
57%Worth a look
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NeurIPS 2026StanfordAppleU OxfordU Texas at AustinHarvardFairness & bias

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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lenient 1/5
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strict 0/5
45%Niche pick
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NeurIPS 2026d_modelML & Alignment Theory ScholaStanfordMATS ResearchGoogle DeepMindDeep RL

Gradient Routing Localizes and Removes Unintended Behaviors in RL

Jake Ward, Shawn Hu, Aria Wong, Nathan Hu and 3 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 Maryland, College ParkStanfordBar-IlanGoodfireLLM pretraining & scaling laws

Pretraining Data Statistics Shape the Phases of Learning Entity Comparison in Language Models

Yik S Chan, Jing Huang, Yanai Elazar, Atticus Geiger

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

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