{"total":66,"rows":[{"id":"2312.10997","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","created":"2023-12-18","cited_by_count":2212,"area":"lr"},{"id":"2503.05592","title":"R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning","created":"2025-03-07","cited_by_count":336,"area":"lr"},{"id":"2504.21776","title":"WebThinker: Empowering Large Reasoning Models with Deep Research Capability","created":"2025-04-30","cited_by_count":335,"area":"lr"},{"id":"2309.17452","title":"ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving","created":"2023-09-29","cited_by_count":282,"area":"lr"},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2503.19470","title":"ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning","created":"2025-03-25","cited_by_count":161,"area":"lr"},{"id":"2510.05592","title":"In-the-Flow Agentic System Optimization for Effective Planning and Tool Use","created":"2025-10-07","cited_by_count":72,"area":"lr"},{"id":"2407.10805","title":"Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation","created":"2024-07-15","cited_by_count":64,"area":"lr"},{"id":"2505.16834","title":"SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis","created":"2025-05-22","cited_by_count":55,"area":"lr"},{"id":"2506.18959","title":"From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents","created":"2025-06-23","cited_by_count":51,"area":"lr"},{"id":"2501.14342","title":"Chain-of-Retrieval Augmented Generation","created":"2025-01-24","cited_by_count":49,"area":"lr"},{"id":"2401.15269","title":"Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models","created":"2024-01-27","cited_by_count":34,"area":"lr"},{"id":"2506.04185","title":"R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning","created":"2025-06-04","cited_by_count":34,"area":"lr"},{"id":"2402.13514","title":"Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions","created":"2024-02-21","cited_by_count":30,"area":"lr"},{"id":"2504.15909","title":"Synergizing RAG and Reasoning: A Systematic Review","created":"2025-04-22","cited_by_count":27,"area":"lr"},{"id":"2401.06800","title":"Reinforcement Learning for Optimizing RAG for Domain Chatbots","created":"2024-01-10","cited_by_count":26,"area":"lr"},{"id":"2503.20757","title":"MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search","created":"2025-03-26","cited_by_count":21,"area":"lr"},{"id":"2504.04915","title":"Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration","created":"2025-04-07","cited_by_count":20,"area":"lr"},{"id":"2505.23794","title":"R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning","created":"2025-05-26","cited_by_count":20,"area":"lr"},{"id":"2311.13982","title":"Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions","created":"2023-11-23","cited_by_count":19,"area":"lr"},{"id":"2604.17052","title":"OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning","created":"2026-04-18","cited_by_count":19,"area":"lr"},{"id":"2507.02962","title":"RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism","created":"2025-06-30","cited_by_count":16,"area":"lr"},{"id":"2507.17365","title":"DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning","created":"2025-07-23","cited_by_count":14,"area":"lr"},{"id":"2410.05801","title":"Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation","created":"2024-10-08","cited_by_count":12,"area":"lr"},{"id":"2502.02390","title":"CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning","created":"2025-02-04","cited_by_count":12,"area":"lr"},{"id":"2410.19084","title":"GCoder: Improving Large Language Model for Generalized Graph Problem Solving","created":"2024-10-24","cited_by_count":11,"area":"lr"},{"id":"2509.21193","title":"Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning","created":"2025-09-25","cited_by_count":11,"area":"lr"},{"id":"2505.17447","title":"LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization","created":"2025-05-23","cited_by_count":10,"area":"lr"},{"id":"2509.21710","title":"Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval","created":"2025-09-26","cited_by_count":10,"area":"lr"},{"id":"2311.08505","title":"Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning","created":"2023-11-14","cited_by_count":9,"area":"lr"},{"id":"2604.15148","title":"IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning","created":"2026-04-16","cited_by_count":9,"area":"lr"},{"id":"2501.09957","title":"FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs","created":"2025-01-17","cited_by_count":8,"area":"lr"},{"id":"2603.07379","title":"SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions","created":"2026-03-07","cited_by_count":8,"area":"lr"},{"id":"2505.12348","title":"Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification","created":"2025-05-18","cited_by_count":6,"area":"lr"},{"id":"2505.17464","title":"HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning","created":"2025-05-23","cited_by_count":6,"area":"lr"},{"id":"2510.27569","title":"MARAG-R1: Beyond Single Retriever via Reinforcement-Learned Multi-Tool Agentic Retrieval","created":"2025-10-31","cited_by_count":5,"area":"lr"},{"id":"2404.14464","title":"Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering","created":"2024-04-22","cited_by_count":4,"area":"lr"},{"id":"2507.07634","title":"FrugalRAG: Less is More in RL Finetuning for Multi-Hop Question Answering","created":"2025-07-10","cited_by_count":4,"area":"lr"},{"id":"2508.19113","title":"Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning","created":"2025-08-26","cited_by_count":4,"area":"lr"},{"id":"2601.21912","title":"ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation","created":"2026-01-29","cited_by_count":4,"area":"lr"},{"id":"2309.10444","title":"Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models","created":"2023-09-19","cited_by_count":3,"area":"lr"},{"id":"2404.03577","title":"Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models","created":"2024-04-04","cited_by_count":3,"area":"lr"},{"id":"2410.12886","title":"AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning","created":"2024-10-16","cited_by_count":3,"area":"lr"},{"id":"2412.06832","title":"SLA Management in Reconfigurable Multi-Agent RAG: A Systems Approach to Question Answering","created":"2024-12-07","cited_by_count":3,"area":"lr"},{"id":"2512.12716","title":"CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning","created":"2025-12-14","cited_by_count":3,"area":"lr"},{"id":"2606.22681","title":"Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG","created":"2026-06-21","cited_by_count":3,"area":"lr"},{"id":"2309.12767","title":"Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models","created":"2023-09-22","cited_by_count":2,"area":"lr"},{"id":"2406.13050","title":"Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation","created":"2024-06-18","cited_by_count":2,"area":"lr"},{"id":"2507.17442","title":"Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring","created":"2025-07-23","cited_by_count":2,"area":"lr"},{"id":"2510.07958","title":"A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning","created":"2025-10-09","cited_by_count":2,"area":"lr"},{"id":"2601.08747","title":"To Retrieve or To Think? Cross-Boundary Context Evolution for Multi-hop Complex Reasoning","created":"2026-01-13","cited_by_count":2,"area":"lr"},{"id":"2608.29622","title":"AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing","created":"2026-08-30","cited_by_count":2,"area":"lr"},{"id":"2506.06881","title":"KnowCoder-V2: Deep Knowledge Analysis","created":"2025-06-07","cited_by_count":1,"area":"lr"},{"id":"2510.07923","title":"STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2512.20144","title":"Multi-hop Reasoning via Early Knowledge Alignment","created":"2025-12-23","cited_by_count":1,"area":"lr"},{"id":"2601.08282","title":"D$^2$Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented Reasoning","created":"2026-01-13","cited_by_count":1,"area":"lr"},{"id":"2601.19827","title":"When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering","created":"2026-01-27","cited_by_count":1,"area":"lr"},{"id":"2605.31062","title":"AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering","created":"2026-05-29","cited_by_count":1,"area":"lr"},{"id":"2506.19466","title":"KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models","created":"2025-06-24","cited_by_count":0,"area":"lr"},{"id":"2602.22828","title":"TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought","created":"2026-02-26","cited_by_count":0,"area":"lr"},{"id":"2603.05551","title":"AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interaction","created":"2026-03-05","cited_by_count":0,"area":"lr"},{"id":"2604.08124","title":"Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search","created":"2026-04-09","cited_by_count":0,"area":"lr"},{"id":"2604.14170","title":"Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2604.24515","title":"SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering","created":"2026-04-27","cited_by_count":0,"area":"lr"},{"id":"2605.28828","title":"Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models","created":"2026-04-10","cited_by_count":0,"area":"lr"},{"id":"2607.19398","title":"HyGRL: Adaptive Hybrid Graph Reasoning for Multi-Entity Questions","created":"2026-07-04","cited_by_count":0,"area":"lr"}],"next_cursor":null}