{"total":23,"rows":[{"id":"2502.18695","title":"Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models","created":"2025-02-25","cited_by_count":31,"area":"lr"},{"id":"2410.23743","title":"What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective","created":"2024-10-31","cited_by_count":29,"area":"lr"},{"id":"2505.17117","title":"From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning","created":"2025-05-21","cited_by_count":25,"area":"lr"},{"id":"2510.07358","title":"Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts","created":"2025-10-08","cited_by_count":24,"area":"lr"},{"id":"2510.09782","title":"The Geometry of Reasoning: Flowing Logics in Representation Space","created":"2025-10-10","cited_by_count":21,"area":"lr"},{"id":"2411.04105","title":"A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning","created":"2024-11-06","cited_by_count":15,"area":"lr"},{"id":"2601.03595","title":"Controllable LLM Reasoning via Sparse Autoencoder-Based Steering","created":"2026-01-07","cited_by_count":15,"area":"lr"},{"id":"2505.24173","title":"DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?","created":"2025-05-30","cited_by_count":10,"area":"lr"},{"id":"2601.11517","title":"Do explanations generalize across large reasoning models?","created":"2026-01-16","cited_by_count":5,"area":"lr"},{"id":"2409.18996","title":"From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models","created":"2024-09-19","cited_by_count":4,"area":"lr"},{"id":"2412.17963","title":"Extracting and Following Paths for Robust Relational Reasoning with Large Language Models","created":"2024-12-23","cited_by_count":3,"area":"lr"},{"id":"2602.10622","title":"How Do Decoder-Only LLMs Perceive Users? Rethinking Attention Masking for User Representation Learning","created":"2026-02-11","cited_by_count":3,"area":"lr"},{"id":"2502.03080","title":"IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates","created":"2025-02-05","cited_by_count":1,"area":"lr"},{"id":"2502.10732","title":"Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents","created":"2025-02-15","cited_by_count":1,"area":"lr"},{"id":"2509.22403","title":"MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning","created":"2025-09-26","cited_by_count":1,"area":"lr"},{"id":"2510.09106","title":"When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs","created":"2025-10-10","cited_by_count":1,"area":"lr"},{"id":"2601.18383","title":"Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models","created":"2026-01-26","cited_by_count":1,"area":"lr"},{"id":"2603.29025","title":"The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning","created":"2026-03-30","cited_by_count":1,"area":"lr"},{"id":"2608.03961","title":"Interpretable Adaptive Sampling for LLM Test-Time Scaling","created":"2026-08-04","cited_by_count":1,"area":"lr"},{"id":"2410.07062","title":"TinyEmo: Scaling down Emotional Reasoning via Metric Projection","created":"2024-10-09","cited_by_count":0,"area":"lr"},{"id":"2601.20784","title":"REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence","created":"2026-01-28","cited_by_count":0,"area":"lr"},{"id":"2604.04418","title":"Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality","created":"2026-04-06","cited_by_count":0,"area":"lr"},{"id":"2605.24492","title":"Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs","created":"2026-05-23","cited_by_count":0,"area":"lr"}],"next_cursor":null}