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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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medium 10/10
strict 3/5
80%Must read
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arXivU Southern CaliforniaCalifornia SouthernSouthern StatesSeoul NationalNew Generation University CollegEfficient 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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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
71%Highly rated
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arXivPathways Behavioral ServicesNew YorkIn-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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lenient 3/5
medium 3/10
strict 0/5
80%Must read
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arXivNew YorkInformation 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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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
83%Must read
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arXivU WashingtonTexas A&MU Notre DameU VirginiaNew YorkLLM 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
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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lenient 1/5
medium 1/10
strict 0/5
83%Must read
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EMNLP 2024U WashingtonNew YorkAlignment & 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
70%Highly rated
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Oncotarget 2016TongjiShanghai Pulmonary HospitalNew YorkHarvardDana-Farber Cancer InstituteMedical 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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lenient 1/5
medium 4/10
strict 0/5
45%Niche pick
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NeurIPS 2026U OxfordColumbia & NYUThe University of OxfordMITU Oxford and University of BernAlignment & 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 ChicagoKalshiNew YorkFinance & 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 YorkOptimization

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 YorkCarnegie MellonU Illinois at Urbana-ChampaignCMU & MBZUAIQuantization

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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57%Worth a look
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NeurIPS 2026New YorkLLM 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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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026SpotlightNew YorkLabs For HumanityGenomics & 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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strict 0/5
57%Worth a look
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NeurIPS 2026TsinghuaTsinghua University, TsinghuaNew YorkInfinigence AITime 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 HopkinsNew YorkNYU Shanghai / NYUTexas A&MJohns HopkinsVision-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 CollegeVirginia TechNew YorkMulti-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 DiegoUCSDU California San DiegoNew YorkPurdueLLM 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 DiegoU Michigan - Ann ArborNew YorkUCSDU New South WalesLLM 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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67%Highly rated
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NeurIPS 2026New YorkExplainable 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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AI panel: 2 of 20 reviewers recommend it
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