{"total":30,"rows":[{"id":"2403.09629","title":"Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking","created":"2024-03-14","cited_by_count":301,"area":"lr"},{"id":"2411.08745","title":"Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers","created":"2024-11-13","cited_by_count":44,"area":"lr"},{"id":"2406.06579","title":"From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks","created":"2024-06-04","cited_by_count":38,"area":"lr"},{"id":"2502.20332","title":"Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models","created":"2025-02-27","cited_by_count":31,"area":"lr"},{"id":"2503.03730","title":"Towards Understanding Distilled Reasoning Models: A Representational Approach","created":"2025-03-05","cited_by_count":26,"area":"lr"},{"id":"2411.07681","title":"What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?","created":"2024-11-12","cited_by_count":23,"area":"lr"},{"id":"2504.19483","title":"Improving Reasoning Performance in Large Language Models via Representation Engineering","created":"2025-04-28","cited_by_count":23,"area":"lr"},{"id":"2502.13913","title":"How Do LLMs Perform Two-Hop Reasoning in Context?","created":"2025-02-19","cited_by_count":20,"area":"lr"},{"id":"2404.13070","title":"Evidence from counterfactual tasks supports emergent analogical reasoning in large language models","created":"2024-04-14","cited_by_count":14,"area":"lr"},{"id":"2503.03666","title":"Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction","created":"2025-03-05","cited_by_count":12,"area":"lr"},{"id":"2602.02301","title":"Advancing General-Purpose Reasoning Models with Modular Gradient Surgery","created":"2026-02-02","cited_by_count":9,"area":"lr"},{"id":"2503.11154","title":"Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models","created":"2025-03-14","cited_by_count":7,"area":"lr"},{"id":"2601.05693","title":"Circular Reasoning: Understanding Self-Reinforcing Loops in Large Reasoning Models","created":"2026-01-09","cited_by_count":5,"area":"lr"},{"id":"2510.00579","title":"CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs","created":"2025-10-01","cited_by_count":4,"area":"lr"},{"id":"2602.04925","title":"Internalizing LLM Reasoning via Discovery and Replay of Latent Actions","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2510.26519","title":"Think Outside the Policy: In-Context Steered Policy Optimization","created":"2025-10-30","cited_by_count":3,"area":"lr"},{"id":"2602.02366","title":"ReasonCACHE: Teaching LLMs To Reason Without Weight Updates","created":"2026-02-02","cited_by_count":3,"area":"lr"},{"id":"2603.20969","title":"Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge","created":"2026-03-21","cited_by_count":3,"area":"lr"},{"id":"2502.16606","title":"Reasoning about Affordances: Causal and Compositional Reasoning in LLMs","created":"2025-02-23","cited_by_count":1,"area":"lr"},{"id":"2604.06377","title":"The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment","created":"2026-04-07","cited_by_count":1,"area":"lr"},{"id":"2604.15842","title":"Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms","created":"2026-04-17","cited_by_count":0,"area":"lr"},{"id":"2604.27540","title":"In-Context Examples Suppress Scientific Knowledge Recall in LLMs","created":"2026-04-30","cited_by_count":0,"area":"lr"},{"id":"2606.24937","title":"The Hitchhiker's Guide to Agentic AI: From Foundations to Systems","created":"2026-06-22","cited_by_count":0,"area":"lr"},{"id":"2608.14465","title":"You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model","created":"2026-08-14","cited_by_count":0,"area":"lr"},{"id":"2608.20347","title":"Who Do Language Models Think Is Competent? A Mechanistic Analysis of Occupational Bias","created":"2026-06-15","cited_by_count":0,"area":"lr"},{"id":"2609.31140","title":"Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?","created":"2026-09-25","cited_by_count":0,"area":"lr"},{"id":"2609.34344","title":"Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2609.38027","title":"Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2610.06950","title":"Learning to Decide, Not to Reason: Parameter-Efficient Decision Operators via Low-Rank Activation Steering","created":"2026-10-03","cited_by_count":0,"area":"lr"},{"id":"2610.14270","title":"The Thinking Leakage in Reinforcement Learning for LLMs","created":"2026-10-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}