LLM Reasoning

LLM: Large Language Model

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68 papers in the last four weeks, up 143% on the four weeks before. 0.7% of all new papers.

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PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
Jul 22, 2026Anmol Kankariya, Sercan Ö. ArıkTest-Time Scaling Language Model Ensembles
Applied AI, Google Cloud
CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning
Jul 22, 2026El Hassane Ettifouri, Ayoub Belfatmi, Mahaman Sanoussi Yahaya Alassan +1Inference-Time Guidance LLM Reasoning
Novelis Research, Paris, France
Are you Talking Logic to Me? Assessing Language Models Syllogistic Reasoning Capabilities
Jul 22, 2026Hanna Abi Akl, Fabien Gandon, Catherine Faron +1Knowledge Representation Structured Reasoning
Université Côte d’Azur, Inria, CNRS, I3S, Sophia Antipolis, France · Data ScienceTech Institute, Paris, France
Reasoning Error from Known Fact: Step-Level Self-Consistency Group Relative Policy Optimization for LLM
Jul 21, 2026Xiaomeng Hu, Jiaqi Hu, Hao Chen +4RL for Language Model Reasoning Hallucination in Language Models
Zhejiang University
CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness
Jul 21, 2026Ziming Wang, Yinghua Yao, Changwu Huang +2CoT Faithfulness Faithfulness of Language Model Explanations
Department of Computer Science and Engineering of Southern University of Science and Technology, Shenzhen, China · Center for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore · School of AI and Liberal Arts, Beijing Normal-Hong Kong Baptist University, Zhuhai, China +1
Reasoning Fine-Tuning Induces Persistent Latent Policy States
Jul 20, 2026Abir Harrasse, Michael Lan, Hunar Batra +2Dynamical Systems Latent Dynamics Modeling
Martian · University of Oxford · University of Utah
Relay-Bench: Evaluating LLMs on Multi-Domain Reasoning Chains
Jul 20, 2026Liam SwayneLLM Evaluation LLM Reasoning
Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering
Jul 20, 2026Sheldon Yu, Tong Yu, Xunyi Jiang +6Overthinking in Language Models Causal Interventions in Language Models
UC San Diego · Adobe Research · University of New South Wales
Solver-Hard Is Not Model-Hard: A Hardness-Controlled Diagnostic for LLM Constraint Reasoning
Jul 19, 2026Lucky VermaLLM Evaluation Constraint Satisfaction
Independent Researcher
Committed Before Reasoning: Behavioral Reproduction and Preliminary Activation-Level Evidence of Answer Pre-Commitment in an Open-Weight LLM
Jul 17, 2026Heejin JoCoT Faithfulness LLM Reasoning
Loop the Loopies!
Jul 17, 2026Zitian Gao, Yilong Chen, Yihao Xiao +4Mixture-of-Experts Language Models Recurrent Transformers
IQuest Research
Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning
Jul 17, 2026Leichao Dong, Dongxu Zhang, Yiding Sun +4CoT Distillation Efficient Language Model Reasoning
1Xi’an Jiaotong University · 2Peking University
T^2MLR: Transformer with Temporal Middle-Layer Recurrence
Jul 16, 2026Ziyang Cai, Xingyu Zhu, Yihe Dong +2Recurrent Transformers LLM Reasoning
Princeton Language and Intelligence, Department of Computer Science Princeton University
Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models
Jul 16, 2026Jungseob Lee, Seungyoon Lee, Suhyune Son +4CoT Distillation Language Model Distillation
1Korea University · 2Zoom Communications · 3Yonsei University
Controlled Reformulation Testing for Logical Consistency in Large Language Models
Jul 16, 2026Alexander Gu, Alan ChenLLM Evaluation Reasoning Consistency in Language Models
University of Texas at Austin
Implicit Reasoning Steering via Concept Chaining
Jul 15, 2026Xiao Ye, Sanika Chavan, Yuxi Huang +4Adversarial Attacks on LLMs Reasoning Consistency in Language Models
School of Computing and Augmented Intelligence, Arizona State University · Bellini College of AI, Cybersecurity, and Computing, University of South Florida, Tampa, Florida, USA · Department of Computer Science, University of California, Davis
Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape Pre-, Intra-, and Post-CoT Calibration
Jul 15, 2026Shuhao Li, Guodong Du, Anhao Zhao +3Confidence Estimation in Language Models Language Model Calibration
Eastern Institute of Technology, Ningbo · The Hong Kong Polytechnic University
Consensus as Privileged Context for Label-Free Self-Distillation
Jul 15, 2026John Gkountouras, Josip Jukić, Ivan TitovSelf-Training for Language Models Language Model Distillation
1ILLC, University of Amsterdam · 2ILCC, University of Edinburgh
Learning Mechanistic Reasoning for Chemical Reactions with Large Language Models
Jul 14, 2026Xingyu Dang, Haocheng Tang, Junmei Wang +1LLM Reasoning
Department of Computer Science, Princeton University, Princeton, NJ, 08540, United States · School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, United States · Khoury College of Computer Science, Northeastern University, Boston, MA, 02115, United States +2
LLMs Can See the Smoke but not the Fire: Evaluating Abductive Reasoning with Elenchos
Jul 14, 2026Julius Steiglechner, Lucas Mahler, Gabriele LohmannLLM Evaluation LLM Reasoning
Dept. of Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany · Max-Planck-Institute for Biological Cybernetics, Magnetic Resonance Center, Tübingen, Germany
Beyond Sally-Anne: Evaluating Theory of Mind in LLMs using Epistemic Schelling Points
Jul 13, 2026Roberta Rocca, Sami Boukortt, Geoff Keeling +1LLM Evaluation Theory of Mind
1Google
ProgramTab: Boosting Table Reasoning of LLMs via Programmatic Paradigm
Jul 13, 2026Pei Guo, Enjie Liu, Yunzhi Tan +6Tabular ML LLM Reasoning
♠Big Data and AI Platform Department, Tencent, China · ♢Institute of Computer Science and Technology, Soochow University, China
Diagnosing and Mitigating Thinking Collapse in On-Policy Self-Distillation
Jul 12, 2026Keqin Peng, Chen Li, Yuanxin Ouyang +2On-Policy Self-Distillation LLM Reasoning
Beihang University · Hong Kong Polytechnic University · Alibaba Group
When Reasoning Hurts Legal Drafting: The Verbalization Bottleneck in Patent Claim Generation
Jul 11, 2026Lekang Jiang, Wenjun Sun, Stephan GoetzLLM Prompting CoT Reasoning
University of Cambridge · National Science Library, Chinese Academy of Sciences; Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences.
Structured Thoughts For Improved Reasoning And Context Pruning
Jul 11, 2026Zain Sarwar, Supriyo Chakraborty, Berkcan Kapusuzoglu +5CoT Reasoning Efficient Language Model Reasoning
University of Chicago · Capital One
SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models
Jul 11, 2026Dongxu Zhang, Yiding Sun, Zihao Guo +5LLM Interpretability Activation Steering
Xi’an Jiaotong University · Peking University · Tencent
LLMs as a Jury: Cross-Model Consensus Can Outperform Process Reward Models for LLM Reasoning
Jul 11, 2026Ning LiuLLM Answer Verification Test-Time Scaling
Independent Researcher
CHASE: Cache-Hole-Adapted Skip Exit for Looped State-Space Language Models
Jul 11, 2026Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo +1Efficient Language Model Inference LLM Reasoning
Rikkyo University · The University of Tokyo
Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts
Jul 10, 2026Renuka Oladri, Mohan Vamsi Varadaraju Priya, Jerry WuLLM Quantization LLM Evaluation
Science Academy University of Maryland College Park, MD, USA · Electrical and Computer Engineering University of Maryland College Park, MD, USA
Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models
Jul 9, 2026Changhun Lee, Minguk Jeon, Jongkyung Shin +1Compositional Reasoning LLM Prompting
Columbia University · UNIST · POSCO Holdings

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PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity

Anmol Kankariya, Sercan Ö. Arık

Applied AI, Google Cloud

Test-Time Scaling Language Model Ensembles Multi-Agent Reasoning LLM Reasoning

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While Large Language Models (LLMs) excel at many tasks, they frequently struggle with complex reasoning that requires long-horizon planning and iterative error correction. Furthermore, standard single-stream prompting proves brittle when models encounter novel abstractions or rigorous domain constraints. We introduce PoTRE (Poly-Topological Reasoning Ensembles), a heterogeneous framework that decouples inference into four agents: (1) Adversarial Refinement Agent, (2) Hierarchical strategic Planning Agent, (3) Spectrum Search Agent, and (4) Direct Chain Agent. A final Task-Adaptive Aggregation Layer dynamically reconciles these perspectives -- via final candidate selection, semantic synthesis, or neuro-symbolic verification -- to produce a robust global solution. We evaluate PoTRE on three frontier benchmarks: ARC-AGI-2, Humanity's Last Exam (HLE), and PRBench Finance. PoTRE achieves state-of-the-art accuracy of 49.92% on HLE, surpassing the previous best official score. We demonstrate that this architectural heterogeneity achieves improved reasoning performance using similar or fewer inference tokens compared to heavily scaled homogeneous baselines.

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