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89%Must read

Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution

On-policy power distillation trains models to generate sharpened answers directly, improving single-sample math reasoning by up to 27.3 points and outperforming multi-candidate sampling and reward-based methods.

Erfan Baghaei Potraghloo, Seyedarmin Azizi, Arya Fayyazi, Saeid Shokoufa and 3 more

Published Oct 5, 2026 · ▲ 4 on Hugging Face · Code ★ 1

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WWW 2026LLM reasoning & chain of thought

Base Models Can Reason By Taking a Cue From Training Data

Fixing initial token cues in base models boosts reasoning to match RL performance, with effects traced to training data associations that can be causally edited.

Sophie L. Wang, Amil Dravid, Rulin Shao, Kevin Farhat and 2 more

Published Oct 5, 2026 · ▲ 12 on Hugging Face · Code ★ 2

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83%Must read

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arXivLLM reasoning & chain of thought

What Matters for Latent Reasoning with Flow Matching

FLaRe uses flow matching for latent reasoning that is useful, diverse, explainable, refinable and efficient, reaching 97% of explicit chain-of-thought accuracy at 25% latency.

Yassine Ouali, Adrian Bulat, Georgios Tzimiropoulos

Published Oct 5, 2026 · ▲ 10 on Hugging Face

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80%Must read

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arXivLLM reasoning & chain of thought

Efficient Reasoning Training Does Not Always Harm CoT Faithfulness and Monitorability

Efficient reasoning training differs in impact: faithfulness usually drops due to inconsistency, but monitorability remains robust.

Samuel Lewis-Lim, Xingwei Tan, Mario Sänger, Zhixue Zhao and 1 more

Published Oct 2, 2026 · 0 citations · ▲ 13 on Hugging Face

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arXivLLM reasoning & chain of thought

Language Models that Play Chess and Explain Their Moves

Queen, a 4B-parameter chess-language model, plays at grandmaster level and explains moves via cross-attention to a silent expert encoder and iterative Bellman-style explanation distillation, surpassing larger frontier models.

Adithya Bhaskar, Jeffrey Cheng, Danqi Chen

Published Oct 2, 2026 · 0 citations · ▲ 31 on Hugging Face · Code ★ 18

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78%Highly rated

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arXivLLM reasoning & chain of thought

Hierarchical Continuous Diffusion Language Models

HC-DLM couples discrete token generation with a continuous latent trajectory via a unified variational denoising objective, outperforming diffusion baselines on Sudoku, Countdown, and language modeling.

Hui Ren, Zihan Li, Chang Liu, Huidong Liu and 1 more

Published Oct 1, 2026 · 0 citations · ▲ 89 on Hugging Face · Code ★ 57

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arXivLLM reasoning & chain of thought

Counting Moves, Weighing Voices: Bayesian Dialectical Argumentation for Calibrated Multi-LLM Councils under Persistent Adversaries

BDA treats multi-LLM council moves as observations of a per-agent reliability model to yield calibrated answer probabilities and robustly handle persistent adversaries without extra LLM calls.

Ionel Eduard Stan, Paolo Napoletano

Published Oct 1, 2026 · 0 citations

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91%Must read

arXivShanghai Jiao Tong Fudan Shanghai Innovation Institute Northeastern LLM reasoning & chain of thought

Does Learning Protein Folding Generalize to Broader Reasoning?

Post-training on protein-folding data via discrete answers and continuous geometry improves structure prediction and broad reasoning across ten benchmarks.

Yong Liu, Zhanpeng Shi, Yizhou Dang, Zhongyue Zhang and 3 more

Published Sep 30, 2026 · 0 citations · ▲ 120 on Hugging Face · Code ★ 28

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arXivLLM reasoning & chain of thought

Interpolated Policy Distillation: A Controllable Continuum Between Off-Policy and On-Policy Distillation

Interpolated Policy Distillation mixes student and teacher token distributions to balance trajectory quality and learnability, outperforming off-policy and on-policy distillation across reasoning benchmarks.

Youxu Shi, Yifan Sun, Dacheng Yin, Haomiao Tang and 4 more

Published Sep 29, 2026 · 0 citations

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86%Must read

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EMNLPFindingsU Virginia Netflix Microsoft U Washington LLM reasoning & chain of thought

TeacherGRPO: Closing the Capacity Gap in Reasoning Distillation via Teacher Alignment

TeacherGRPO aligns teachers to student distributions via reinforcement learning to overcome reasoning distillation's Gap Curse and improves student performance.

Zhenyu Lei, Zihan Chen, Yaochen Zhu, Shangbin Feng and 4 more

Published Aug 20, 2026 · 0 citations

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72%Highly rated

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arXivThe University of Texas at Austi Zhejiang Hong Kong Polytechnic U Science and Technology of Chin Beijing University of Posts and LLM reasoning & chain of thought

On the Geometry of On-Policy Distillation

On-policy distillation updates occupy a sparse, low-dimensional parameter subspace that is functionally sufficient and geometrically distinct from supervised fine-tuning and reinforcement learning.

Zhennan Shen, Yanshu Li, Qingyu Yin, Chak Tou Leong and 5 more

Published Jun 5, 2026 · 0 citations · ▲ 75 on Hugging Face

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80%Must read

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arXivLLM reasoning & chain of thought

RelayLLM: Efficient Reasoning via Collaborative Decoding

RelayLLM enables small language models to dynamically invoke large models for critical reasoning tokens via collaborative decoding, reducing costs by 98.2% while achieving 49.52% accuracy.

Chengsong Huang, Tong Zheng, Langlin Huang, Jinyuan Li and 2 more

Published Jan 8, 2026 · 0 citations · ▲ 30 on Hugging Face · Code ★ 41

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74%Highly rated

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arXivLLM reasoning & chain of thought

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

DeepSeek-V3.2 improves efficiency via sparse attention, scaled reinforcement learning matching GPT-5, and agentic synthesis, with a special variant surpassing GPT-5 and reaching gold-medal IMO and IOI levels.

DeepSeek-AI, Aixin Liu, Mei, Aoxue, Lin, Bangcai and 36 more

Published Dec 2, 2025 · 8 citations · ▲ 274 on Hugging Face

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76%Highly rated

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ACL 2025Nanyang Technological Joint NTU-UBC Research Centre of LLM reasoning & chain of thought

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

SoftCoT uses a fixed assistant and projection module to generate soft reasoning tokens that boost LLM reasoning via parameter-efficient fine-tuning.

Yaogeng Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao

Published 2025 · 14 citations

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45%Niche pick

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NeurIPS 2026KAIST KAIST, Korea Advanced Institute PYLER LLM reasoning & chain of thought

Continuous Audio Thinking for Large Audio Language Models

Gyojin Han, DongJae Lee, Changho Choi, Jongsuk Kim 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 2026Georgia Tech LLM reasoning & chain of thought

Hypothesis generation and updating in large language models

Huadong Xiong

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

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NeurIPS 2026Yale Stanford LLM 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 2026SpotlightThe University of Tokyo Harvard LLM reasoning & chain of thought

A Solvable Model of Chain-of-Thought in In-Context Learning

Kaito Takanami, Cengiz Pehlevan

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

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NeurIPS 2026The University of Melbourne Peking Unimelb & MBZUAI LLM reasoning & chain of thought

Contractive Restoring Flows: Robust Reasoning Distillation via Orbital Stability

Dongqi Zuo, Yuanyuan Wang, Chuan Zhou, Haoxuan Li 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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NeurIPS 2026Yale Google Google Research LLM reasoning & chain of thought

Programmatic Reasoning with Structural Schema: A Unified Framework for Multi-Table Inference

Jialin Chen, Brandon Mayer, Michael Galkin, Sami Abu-El-Haija 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 2026Max Planck Institute for Intelli Eberhard-Karls-Universität Tübin ETHZ - ETH Zurich ELLIS Institute & MPI Intell LLM reasoning & chain of thought

Tio: Language Models with Parallel Streams of Thoughts, Inputs and Outputs

Guinan Su, Yanwu Yang, Xueyan Li, Jonas Geiping

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

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NeurIPS 2026Tsinghua U Oxford Stanford; Noeri AI Stanford LLM reasoning & chain of thought

LLMs Keep Thinking When Told Not To

Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, Philip Torr 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 2026Yonsei LLM reasoning & chain of thought

Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models

JIHOON LEE, Yeongbin Seo, Jaehyung Kim

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

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NeurIPS 2026Harbin Institute of Technology State University of New York at Harbin Institute of Technology Shandong Jianzhu LLM reasoning & chain of thought

Chain-of-Correction: Progress-Aware Policy Steering via Anchor-Grounded Predictive Reasoning

Xuening Zhang, Xiang Deng, Jiayi Lin, Qi Lv 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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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 2026Hanoi University of Science and VinMotion LLM reasoning & chain of thought

COMPASS: Composable Policy-Amortized Structured Search for LLM-Based Optimization Modeling

Nguyen Le Minh Hoang, Van D Cuong, Bui Trong Duc, Huynh Thi Thanh Binh

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

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NeurIPS 2026Sichuan Tsinghua Zhejiang LLM reasoning & chain of thought

TARP: Trace-Anchored Regularization Prior for Retaining Stepwise Reasoning

Wei Li, Tao Feng, Hangjie Yuan, Aojun Lu 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 2026U Central Florida LLM reasoning & chain of thought

Evaluating Whether LLMs Can Reliably Connect the DOTs?

Eftekhar Hossain, John Salvador, Santu Karmaker

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

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NeurIPS 2026Beihang Zhongguancun Laboratory, Beijing Beijing University of Aeronautic Monash Tsinghua LLM reasoning & chain of thought

From Solver Trajectories to Teaching Trajectories: Cognition-Aligned Reasoning Distillation

Yashuo Luo, Qianren Mao, ZiqiQin, Junnan Liu and 5 more

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

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NeurIPS 2026Linköping U Groningen Southeast Mohamed bin Zayed University of LLM reasoning & chain of thought

Geometric Instability of Hidden-State Trajectories Predicts Reasoning Failures in Large Language Models

Hoda Fakharzadehjahromy, Andreas C Bueff, Fredrik Heintz, Mattias Tiger and 3 more

Sydney Poster Session 5, Thu, Dec 10, 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 2026Hong Kong Polytechnic Monash International Digital Economy Ac Jilin Griffith LLM reasoning & chain of thought

MemPilot: Learning Transferable Latent Memory Mechanisms for LLM Reasoning

Changlong Shi, LINHAO LUO, Shigeng Chen, Guibin Zhang and 3 more

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

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NeurIPS 2026U Science and Technology of Chin Noah's Ark Lab, Huawei Tech Chinese Academy Sciences The Chinese University of Hong K Tianjin LLM reasoning & chain of thought

SteadyThought: Mitigating LLM Under-Thinking via Thought-Level Preference Optimization

Zhenyue Peng, Lin Yang, Jie Wang, Xiaoqi Ni and 6 more

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

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NeurIPS 2026Northeastern LLM reasoning & chain of thought

Stability in Multi-Step Reasoning via Jacobian-based Error Accumulation Analysis

Dongyue Li, Alice Duan, Ziniu Zhang, Hongyang Zhang

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

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NeurIPS 2026Nanyang Technological LLM reasoning & chain of thought

Large Language Models as Graph Computational Solvers via Topology-aware Residual Attention

Wei Zhuo, Siqiang Luo

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

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NeurIPS 2026Korea Advanced Institute of Scie KAIST KAIST, Korea Advanced Institute LLM reasoning & chain of thought

Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation

Taehoon Kim, Seunggeun Cho, Dongsu Han

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

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NeurIPS 2026Central South Central South University, China LLM reasoning & chain of thought

Failure Profiling and Reachable Trajectory Selection for Reasoning Distillation

yijun Zhu, Jianxin Wang, Chengchao Shen

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

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NeurIPS 2026SpotlightStanford LLM reasoning & chain of thought

Large language models suffer from a curse of ambiguity

Nicolas Zucchet, Hyun Dong Lee, Scott Linderman

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

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NeurIPS 2026Clemson LLM reasoning & chain of thought

Attention-Based Soft Answer Sets

Wael AbdAlmageed

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

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NeurIPS 2026Southeast Norwegian University of Science LLM reasoning & chain of thought

MinPath: Learning Efficient LLM Reasoning via Minimal Dependency Paths

Zhijing Yang, Shuming Hou, Guohui Xiao, Lemei Zhang 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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NeurIPS 2026Nanyang Technological Institute of Microelectronics of City University of Hong Kong LLM reasoning & chain of thought

Interleaved Latent Thinking and Adaptive Termination for Efficient Reasoning LLMs

Zhao Jin, Rong-Cheng Tu, Wenhao Sun, Qi Guo 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 2026Apple LLM reasoning & chain of thought

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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NeurIPS 2026School of Intelligence Science a Nanjing Singapore Management LLM reasoning & chain of thought

Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs

Nuojing Liang, Xiaotong Yuan, Pan Zhou

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

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NeurIPS 2026Chinese University of Hong Kong,Microsoft Chinese University of Hong Kong The Chinese University of Hong K LLM reasoning & chain of thought

EmpathyChat: Structured Cognitive Reasoning in Empathetic Spoken Dialogue

Dingdong WANG, Shujie LIU, Jinyu Li, Yuxuan Hu and 5 more

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

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NeurIPS 2026nanjing university Peking CUHK, Google DeepMind Intel Labs China LLM reasoning & chain of thought

Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning

zijun shen, Ruichuan An, Sihan Yang, Ziyu Guo and 4 more

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

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NeurIPS 2026Beijing Normal LLM reasoning & chain of thought

Correct but Unselectable: The Hidden Interface Tax in Multi-Candidate Reasoning

Qianli Ma, Zhiqing Tang, Fanshuai Meng, Zhi Yao and 2 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Sydney Australian National Arizona State U North Carolina at Chapel Hill Mohamed bin Zayed University of LLM reasoning & chain of thought

Chain-of-Thought Oversight Should Not Treat Faithfulness as Monitorability

Sichao Li, Sai Ma, Xiyang Hu, Chudi Zhong 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 2026CUNY Graduate Center CUNY Queens College LLM reasoning & chain of thought

Why Transformer-Based Language Models Need Explicit Mechanisms of Cognitive Control

Suketu Patel, Hongbin Wang, Jin Fan

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

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NeurIPS 2026U Nottingham LLM reasoning & chain of thought

Position: Robust Reasoning Requires Internal Time, Not Scale Alone

Amar Gahir, Shreyank Gowda

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

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NeurIPS 2026Zhejiang University, Westlake U British Columbia Nanjing Westlake LLM reasoning & chain of thought

Preserving Exploration for LLM Reasoning via Mean Order-Statistic Alignment

Ruotian Peng, Yi Ren, Long-Fei Li, Yandong Wen

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

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NeurIPS 2026Florida Atlantic LLM reasoning & chain of thought

Commit Then Explore: Reasoning Models Diversify, Not Converge

Ben Jenkins, Mihaela Cardei

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

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NeurIPS 2026National University of Defense T Microsoft Renmin University of China Peking Shandong LLM reasoning & chain of thought

Mining Logic under Uncertainty: Probabilistic Soft Logic with Energy-Based Inference for Chain-of-Thought Verification

Jiang Yu, Jinlong Tian, Kewei Cheng, Yue He and 6 more

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

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NeurIPS 2026NUS Chongqing Research Institute Zhejiang The Chinese University of Hong K U Macau National University of Singapore LLM reasoning & chain of thought

Illusory Pattern Perception Drives Spurious Inference in Large Language Models

Peihua Mai, Zhuoyan Shao, Xinbao Qiao, Meng Zhang 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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NeurIPS 2026South China Normal Microsoft Central South Coupang LLM reasoning & chain of thought

CoTrek: Toward Scalable On-Policy Distillation for Long Chain-of-Thought Reasoning

Heng Zhang, Chengyu Zhou, Jiajun Wu, Estella Liu and 7 more

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

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NeurIPS 2026City University of Hong Kong Huawei Noah's Ark Lab Huawei Technologies Ltd.Southern University of Science a LLM reasoning & chain of thought

Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models

Shunyu Yao, Fei Liu, Ji Cheng, Mingxuan Yuan and 3 more

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

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NeurIPS 2026The Hong Kong University of Scie The Hong Kong University of Scie LLM reasoning & chain of thought

Toward Efficient Reasoning of Large Language Models via Latent Concept-Pyramid Modeling

Sijia Chen, Ningxin Su

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

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NeurIPS 2026New York UCLA U Illinois at Urbana-Champaign Columbia NYU LLM reasoning & chain of thought

Understanding Reasoning from Pretraining to Post-Training: Chess as a Controlled Testbed

Jingyan Shen, Ang Li, Salman Rahman, Yifan Sun and 3 more

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

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NeurIPS 2026U Oxford FLock.io LLM reasoning & chain of thought

Anchoring Reasoning Distillation via Syntactic Constraints

Zehua Cheng, Wei Dai, Jiahao Sun

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

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NeurIPS 2026U California, Berkeley LLM reasoning & chain of thought

Transformers Provably Learn Graph Search: Training Dynamics and the Exponential Power of Depth

Xutao Ma, Somayeh Sojoudi

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

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NeurIPS 2026UC Berkeley Carnegie Mellon UC Berkeley, Transluce AI U California, Berkeley LLM reasoning & chain of thought

Time to Pay Attention! Understanding High Complexity Corpus Reasoning Tasks

Prasann Singhal, Amanda Bertsch, Jacob Steinhardt, Sewon Min

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

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