{"total":41,"rows":[{"id":"2310.16218","title":"Knowledge Editing for Large Language Models: A Survey","created":"2023-10-24","cited_by_count":194,"area":"lr"},{"id":"2407.11511","title":"Multi-Step Reasoning with Large Language Models, a Survey","created":"2024-07-16","cited_by_count":143,"area":"lr"},{"id":"2601.03192","title":"MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory","created":"2026-01-06","cited_by_count":129,"area":"lr"},{"id":"2503.07572","title":"Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning","created":"2025-03-10","cited_by_count":123,"area":"lr"},{"id":"2509.06948","title":"Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning","created":"2025-09-08","cited_by_count":30,"area":"lr"},{"id":"2205.15213","title":"Backpropagation through Combinatorial Algorithms: Identity with Projection Works","created":"2022-05-30","cited_by_count":29,"area":"lr"},{"id":"2405.20692","title":"In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought","created":"2024-05-31","cited_by_count":26,"area":"lr"},{"id":"2502.01567","title":"Latent Thought Models with Variational Bayes Inference-Time Computation","created":"2025-02-03","cited_by_count":25,"area":"lr"},{"id":"2512.16848","title":"Meta-RL Induces Exploration in Language Agents","created":"2025-12-18","cited_by_count":21,"area":"lr"},{"id":"2305.06349","title":"RECKONING: Reasoning through Dynamic Knowledge Encoding","created":"2023-05-10","cited_by_count":18,"area":"lr"},{"id":"2601.18778","title":"Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability","created":"2026-01-26","cited_by_count":13,"area":"lr"},{"id":"2408.12469","title":"Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning","created":"2024-08-22","cited_by_count":8,"area":"lr"},{"id":"2309.01256","title":"BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning","created":"2023-09-03","cited_by_count":6,"area":"lr"},{"id":"2511.23262","title":"Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning","created":"2025-11-28","cited_by_count":5,"area":"lr"},{"id":"2211.11650","title":"Neural Meta-Symbolic Reasoning and Learning","created":"2022-11-21","cited_by_count":4,"area":"lr"},{"id":"2412.10455","title":"Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning","created":"2024-12-12","cited_by_count":4,"area":"lr"},{"id":"2603.09678","title":"EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages","created":"2026-03-10","cited_by_count":4,"area":"lr"},{"id":"2606.21090","title":"Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training","created":"2026-06-17","cited_by_count":4,"area":"lr"},{"id":"2603.03680","title":"MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation","created":"2026-03-04","cited_by_count":3,"area":"lr"},{"id":"2408.14855","title":"Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL","created":"2024-08-27","cited_by_count":2,"area":"lr"},{"id":"2503.23303","title":"SalesRLAgent: A Reinforcement Learning Approach for Real-Time Sales Conversion Prediction and Optimization","created":"2025-03-30","cited_by_count":2,"area":"lr"},{"id":"2504.07596","title":"Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution","created":"2025-04-10","cited_by_count":2,"area":"lr"},{"id":"2505.17607","title":"Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning","created":"2025-05-23","cited_by_count":2,"area":"lr"},{"id":"2505.19815","title":"Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective","created":"2025-05-26","cited_by_count":2,"area":"lr"},{"id":"2506.12365","title":"Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics","created":"2025-06-14","cited_by_count":2,"area":"lr"},{"id":"2304.14382","title":"Analogy-Forming Transformers for Few-Shot 3D Parsing","created":"2023-04-27","cited_by_count":1,"area":"lr"},{"id":"2412.13536","title":"MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules","created":"2024-12-18","cited_by_count":1,"area":"lr"},{"id":"2504.13460","title":"Chain-of-Evidence Multimodal Reasoning for Few-shot Temporal Action Localization","created":"2025-04-18","cited_by_count":1,"area":"lr"},{"id":"2505.14313","title":"Teaching Small Language Models to Learn Logic through Meta-Learning","created":"2025-05-20","cited_by_count":1,"area":"lr"},{"id":"2506.10085","title":"VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models","created":"2025-06-11","cited_by_count":1,"area":"lr"},{"id":"2509.05542","title":"DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training","created":"2025-09-05","cited_by_count":1,"area":"lr"},{"id":"2604.15972","title":"Weak-Link Optimization for Multi-Agent Reasoning and Collaboration","created":"2026-04-17","cited_by_count":1,"area":"lr"},{"id":"2605.24547","title":"RL with Learnable Textual Feedback: A Bilevel Approach","created":"2026-05-23","cited_by_count":1,"area":"lr"},{"id":"2409.19075","title":"Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning","created":"2024-09-27","cited_by_count":0,"area":"lr"},{"id":"2503.06531","title":"MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning","created":"2025-03-09","cited_by_count":0,"area":"lr"},{"id":"2603.23964","title":"From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2604.06501","title":"Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning","created":"2026-04-07","cited_by_count":0,"area":"lr"},{"id":"2605.05478","title":"LANTERN: LLM-Augmented Neurosymbolic Transfer with Experience-Gated Reasoning Networks","created":"2026-05-06","cited_by_count":0,"area":"lr"},{"id":"2605.31119","title":"Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning","created":"2026-05-29","cited_by_count":0,"area":"lr"},{"id":"2606.06428","title":"Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation","created":"2026-06-04","cited_by_count":0,"area":"lr"},{"id":"2607.06625","title":"Open-Ended Scenario Reasoning for Specialist Model Adaptation","created":"2026-07-07","cited_by_count":0,"area":"lr"}],"next_cursor":null}