Chain-Of-Thought Reasoning

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Period ending 2026-09-14

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LLM Reasoning Methods

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Chain-Of-Thought

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Large Reasoning Models

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Reasoning Benchmark

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Reasoning Traces

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Thinking

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Reasoning Trajectory

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Reasoning Chain

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Reasoning Paths

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Recursive Reasoner

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PERK: Long-Context Reasoning as Test-Time Learning
Jul 8, 2025Zeming Chen, Angelika Romanou, Gail Weiss +1Efficient Long-Context Inference LLM Reasoning Methods
Multimodal Mathematical Reasoning with Diverse Solving Perspective
Jul 3, 2025Wenhao Shi, Zhiqiang Hu, Yi Bin +4Mathematical Reasoning LLM Reasoning Methods
Learning Composable Chains-of-Thought
May 28, 2025Fangcong Yin, Zeyu Leo Liu, Liu Leqi +2LLM Reasoning Methods Chain-Of-Thought
Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning
May 22, 2025Xinghao Chen, Anhao Zhao, Heming Xia +7Chain-Of-Thought Systematic Study
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
May 22, 2025Jiawei Liu, Qisi Chen, Jianshu Zhang +2LLM Reasoning Methods Equivalence
When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning
May 21, 2025Rongzhi Zhu, Yi Liu, Jiancheng Wang +6Large Reasoning Models
Reliable Proof Generation with LLMs via Analogical Retrieval and Symbolic Verification: A Case Study in Euclidean Geometry
May 20, 2025Oren Sultan, Eitan Stern, Dafna ShahafTheorem Analogy
Adaptive GoGI-Skip: Coupling Goal-Gradient Importance with Dynamic Uncertainty for Efficient Reasoning
May 13, 2025Ren ZhuangChain-Of-Thought Gradient-Based Optimization
Evaluating the Scalability and Adversarial Generalization of GRPO-Trained NLI Models
Apr 25, 2025Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1Natural Language Inference Relative Policy Optimization
Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations
Apr 7, 2025Pedro Ferreira, Wilker Aziz, Ivan TitovExplanations Chain-Of-Thought
Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
Mar 31, 2025Rui Wang, Hongru Wang, Boyang Xue +9LLM Reasoning Methods Reasoning Errors
Scaling Evaluation-time Compute with Reasoning Models as Evaluators
Mar 25, 2025Seungone Kim, Ian Wu, Jinu Lee +8Large Language Model Evaluation Large Reasoning Models
Is Your Benchmark Still Useful? Dynamic Benchmarking for Code Language Models
Mar 9, 2025Batu Guan, Xiao Wu, Yuanyuan Yuan +1Reasoning Benchmark Cryptographically Authorized Mutation
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
Mar 3, 2025Tin Nguyen, Logan Bolton, Mohammad Reza Taesiri +2Large Language Model Hallucination Large Language Model Responses
The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer
Feb 21, 2025Marthe Ballon, Andres Algaba, Vincent GinisMathematical Reasoning Reasoning Chain
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
Feb 17, 2025Runxuan Liu, Bei Luo, Jiaqi Li +5Knowledge Graphs Multi-Hop Reasoning
IFAR: Multi-Perspective and Multi-Level Causal Discovery with LLMs
Sep 9, 2024Jinwei He, Feng LuAbductive Reasoning LLM Reasoning Methods
An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language Models
Apr 3, 2024Emmy Liu, Graham Neubig, Jacob AndreasLLM Reasoning Methods
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering
Mar 7, 2024Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda +5Medical Question Answering Clinical
Building Expressive and Tractable Probabilistic Generative Models: A Review
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Amortizing intractable inference in large language models
Oct 6, 2023Edward J. Hu, Moksh Jain, Eric Elmoznino +4Large Language Model Fine-Tuning LLM Reasoning Methods
Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation
Mar 12, 2020Meghyn Bienvenu, Camille BourgauxAbstract Argumentation Entailment
ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces
Date pendingJinu Lee, Shivam Agarwal, Amruta Parulekar +3Reasoning Traces Large Reasoning Models
Rescaling Confidence: What Scale Design Reveals About LLM Metacognition
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A False Average: Pooled CoT-Monitor Accuracy Conceals a Reasoning-Dependent Fragility
Date pendingShikhar Shiromani, Leo RichterChain-Of-Thought Attack Surface
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Date pendingJustin Mücke, Ansgar ScherpOntology Reasoning Graphs

Jul 8, 2025 · cs.CLJ/K move · Enter open · S save

PERK: Long-Context Reasoning as Test-Time Learning

Zeming Chen, Angelika Romanou, Gail Weiss, Antoine Bosselut

EPFL

Long-context reasoning requires accurately identifying relevant information in extensive, noisy input contexts. In this work, we propose PERK (Parameter Efficient Reasoning over Knowledge), a scalable approach for learning to encode long contexts using gradient updates at test time. Specifically, PERK employs two nested optimization loops in a meta-training phase. The inner loop rapidly encodes contexts into a low-rank adapter (LoRA) that serves as a parameter-efficient memory module for the base model. Concurrently, the outer loop learns to use the updated adapter to accurately recall and reason over relevant information from the encoded long context. Our evaluations on several long-context reasoning tasks show that PERK significantly outperforms the standard long-context finetuning, achieving average absolute performance gains of up to 20% for Qwen-2.5 (0.5B & 7B) on synthetic and real-world long-context reasoning. PERK also maintains its advantages across model scales and families. Compared to specialized long-context LLMs, PERK matches or surpasses their performance. Finally, our analyses show PERK is more robust to reasoning complexity, length extrapolation, and the positions of relevant information in contexts. https://perk-long-context.web.app

Efficient Long-Context Inference LLM Reasoning Methods Retrieval Benchmarks Test-Time Adaptation

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