{"total":152,"rows":[{"id":"2503.09516","title":"Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning","created":"2025-03-12","cited_by_count":1444,"area":"lr"},{"id":"2505.10978","title":"Group-in-Group Policy Optimization for LLM Agent Training","created":"2025-05-16","cited_by_count":497,"area":"lr"},{"id":"2506.15841","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","created":"2025-06-18","cited_by_count":238,"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":"2508.14444","title":"NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model","created":"2025-08-20","cited_by_count":108,"area":"lr"},{"id":"2509.01055","title":"VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use","created":"2025-09-01","cited_by_count":96,"area":"lr"},{"id":"2505.15107","title":"StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization","created":"2025-05-21","cited_by_count":88,"area":"lr"},{"id":"2505.11821","title":"Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment","created":"2025-05-17","cited_by_count":79,"area":"lr"},{"id":"2501.14342","title":"Chain-of-Retrieval Augmented Generation","created":"2025-01-24","cited_by_count":49,"area":"lr"},{"id":"2505.17612","title":"Distilling LLM Agent into Small Models with Retrieval and Code Tools","created":"2025-05-23","cited_by_count":47,"area":"lr"},{"id":"2505.15117","title":"An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents","created":"2025-05-21","cited_by_count":46,"area":"lr"},{"id":"2405.13873","title":"FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering","created":"2024-05-22","cited_by_count":39,"area":"lr"},{"id":"2505.03970","title":"A Reasoning-Focused Legal Retrieval Benchmark","created":"2025-05-06","cited_by_count":37,"area":"lr"},{"id":"2505.11277","title":"Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning","created":"2025-05-16","cited_by_count":35,"area":"lr"},{"id":"2507.21836","title":"AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning","created":"2025-07-29","cited_by_count":33,"area":"lr"},{"id":"2501.07861","title":"ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding","created":"2025-01-14","cited_by_count":32,"area":"lr"},{"id":"2505.18454","title":"Hybrid Latent Reasoning via Reinforcement Learning","created":"2025-05-24","cited_by_count":32,"area":"lr"},{"id":"2505.07596","title":"Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent","created":"2025-05-12","cited_by_count":30,"area":"lr"},{"id":"2505.14432","title":"Rank-K: Test-Time Reasoning for Listwise Reranking","created":"2025-05-20","cited_by_count":29,"area":"lr"},{"id":"2511.02805","title":"MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning","created":"2025-11-04","cited_by_count":27,"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":"2505.09316","title":"Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging","created":"2025-05-14","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":"2505.17281","title":"Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty","created":"2025-05-22","cited_by_count":17,"area":"lr"},{"id":"2508.13250","title":"Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information","created":"2025-08-18","cited_by_count":17,"area":"lr"},{"id":"2509.23285","title":"Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning","created":"2025-09-27","cited_by_count":17,"area":"lr"},{"id":"2602.00994","title":"Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning","created":"2026-02-01","cited_by_count":17,"area":"lr"},{"id":"2406.11460","title":"TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation","created":"2024-06-17","cited_by_count":16,"area":"lr"},{"id":"2602.08847","title":"Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems","created":"2026-02-09","cited_by_count":16,"area":"lr"},{"id":"2502.07555","title":"O1 Embedder: Let Retrievers Think Before Action","created":"2025-02-11","cited_by_count":15,"area":"lr"},{"id":"2512.04220","title":"On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement","created":"2025-12-03","cited_by_count":15,"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":"2412.08519","title":"Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation","created":"2024-12-11","cited_by_count":13,"area":"lr"},{"id":"2306.03799","title":"Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models","created":"2023-06-06","cited_by_count":11,"area":"lr"},{"id":"2506.11603","title":"TongSearch-QR: Reinforced Query Reasoning for Retrieval","created":"2025-06-13","cited_by_count":11,"area":"lr"},{"id":"2601.04703","title":"Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search","created":"2026-01-08","cited_by_count":11,"area":"lr"},{"id":"2602.01672","title":"Adaptive Information Control for Search-Augmented LLM Reasoning","created":"2026-02-02","cited_by_count":11,"area":"lr"},{"id":"2603.12634","title":"Spend Less, Reason Better: Budget-Aware Value Tree Search for LLM Agents","created":"2026-03-13","cited_by_count":11,"area":"lr"},{"id":"2604.02073","title":"PLUME: Latent Reasoning Based Universal Multimodal Embedding","created":"2026-04-02","cited_by_count":11,"area":"lr"},{"id":"2509.24193","title":"AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play","created":"2025-09-29","cited_by_count":10,"area":"lr"},{"id":"2410.11588","title":"Causal Reasoning in Large Language Models: A Knowledge Graph Approach","created":"2024-10-15","cited_by_count":9,"area":"lr"},{"id":"2503.08716","title":"AuthorMist: Evading AI Text Detectors with Reinforcement Learning","created":"2025-03-10","cited_by_count":9,"area":"lr"},{"id":"2511.20718","title":"Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization","created":"2025-11-25","cited_by_count":9,"area":"lr"},{"id":"2603.01425","title":"LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval","created":"2026-03-02","cited_by_count":9,"area":"lr"},{"id":"2604.14267","title":"Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization","created":"2026-04-15","cited_by_count":9,"area":"lr"},{"id":"2605.22511","title":"Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning","created":"2026-05-21","cited_by_count":9,"area":"lr"},{"id":"2502.14864","title":"Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework","created":"2025-02-20","cited_by_count":8,"area":"lr"},{"id":"2601.06993","title":"Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?","created":"2026-01-11","cited_by_count":8,"area":"lr"},{"id":"2603.21972","title":"Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe","created":"2026-03-23","cited_by_count":8,"area":"lr"},{"id":"2511.05385","title":"TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework","created":"2025-11-07","cited_by_count":7,"area":"lr"},{"id":"2604.04503","title":"Memory Intelligence Agent","created":"2026-04-06","cited_by_count":7,"area":"lr"},{"id":"2504.03947","title":"Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking","created":"2025-04-04","cited_by_count":6,"area":"lr"},{"id":"2510.00861","title":"Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs","created":"2025-10-01","cited_by_count":6,"area":"lr"},{"id":"2510.06214","title":"Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents","created":"2025-10-07","cited_by_count":6,"area":"lr"},{"id":"2510.13272","title":"Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation","created":"2025-10-15","cited_by_count":6,"area":"lr"},{"id":"2510.27566","title":"Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval","created":"2025-10-31","cited_by_count":6,"area":"lr"},{"id":"2601.09523","title":"TEMPO: A Realistic Multi-Domain Benchmark for Temporal Reasoning-Intensive Retrieval","created":"2026-01-14","cited_by_count":6,"area":"lr"},{"id":"2601.18207","title":"PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR","created":"2026-01-26","cited_by_count":6,"area":"lr"},{"id":"2602.04454","title":"Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search","created":"2026-02-04","cited_by_count":6,"area":"lr"},{"id":"2507.10411","title":"Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG","created":"2025-07-14","cited_by_count":5,"area":"lr"},{"id":"2511.07581","title":"Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models","created":"2025-11-10","cited_by_count":5,"area":"lr"},{"id":"2601.22776","title":"TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization","created":"2026-01-30","cited_by_count":5,"area":"lr"},{"id":"2604.20486","title":"ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards","created":"2026-04-22","cited_by_count":5,"area":"lr"},{"id":"2605.29192","title":"ReasonOps: Operator Segmentation for LLM Reasoning Traces","created":"2026-05-28","cited_by_count":5,"area":"lr"},{"id":"2607.13501","title":"LOTAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search Reasoning","created":"2026-07-15","cited_by_count":5,"area":"lr"},{"id":"2608.12875","title":"The Embedder's Dilemma: LLMs Are Better, but at What Cost?","created":"2026-08-13","cited_by_count":5,"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":"2510.07048","title":"Search-R3: Unifying Reasoning and Embedding in Large Language Models","created":"2025-10-08","cited_by_count":4,"area":"lr"},{"id":"2510.12264","title":"Reducing Belief Deviation in Reinforcement Learning for Active Reasoning","created":"2025-10-14","cited_by_count":4,"area":"lr"},{"id":"2511.00066","title":"Sharpness-Guided Group Relative Policy Optimization via Probability Shaping","created":"2025-10-29","cited_by_count":4,"area":"lr"},{"id":"2601.06860","title":"ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration","created":"2026-01-11","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":"2604.03676","title":"Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead","created":"2026-04-04","cited_by_count":4,"area":"lr"},{"id":"2410.05077","title":"ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering","created":"2024-10-07","cited_by_count":3,"area":"lr"},{"id":"2510.10448","title":"RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation","created":"2025-10-12","cited_by_count":3,"area":"lr"},{"id":"2510.17139","title":"Rethinking On-policy Optimization for Query Augmentation","created":"2025-10-20","cited_by_count":3,"area":"lr"},{"id":"2512.01945","title":"Agentic Policy Optimization via Instruction-Policy Co-Evolution","created":"2025-12-01","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":"2601.21700","title":"Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning","created":"2026-01-29","cited_by_count":3,"area":"lr"},{"id":"2602.11551","title":"SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent","created":"2026-02-12","cited_by_count":3,"area":"lr"},{"id":"2603.18859","title":"RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2605.14448","title":"Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture","created":"2026-05-14","cited_by_count":3,"area":"lr"},{"id":"2508.08149","title":"REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation","created":"2025-08-11","cited_by_count":2,"area":"lr"},{"id":"2509.00276","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","created":"2025-08-29","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":"2510.15719","title":"Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth","created":"2025-10-17","cited_by_count":2,"area":"lr"},{"id":"2510.25668","title":"ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents","created":"2025-10-29","cited_by_count":2,"area":"lr"},{"id":"2512.13573","title":"MMhops-R1: Multimodal Multi-hop Reasoning","created":"2025-12-15","cited_by_count":2,"area":"lr"},{"id":"2601.04651","title":"Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models","created":"2026-01-08","cited_by_count":2,"area":"lr"},{"id":"2608.01358","title":"HopRefusalBench: Diagnosing Refusal Failures in Search-Augmented Agents for Multi-Hop Reasoning","created":"2026-08-02","cited_by_count":2,"area":"lr"},{"id":"2609.00813","title":"One Policy, Any Budget: Internalizing Budget-Aware Search via Reinforcement Learning","created":"2026-09-01","cited_by_count":2,"area":"lr"},{"id":"2609.22486","title":"Semantics Delivery Network: Rethinking Web Retrieval Infrastructure for LLM Agents","created":"2026-09-18","cited_by_count":2,"area":"lr"},{"id":"2507.15586","title":"Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation","created":"2025-07-21","cited_by_count":1,"area":"lr"},{"id":"2508.17330","title":"Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering","created":"2025-08-24","cited_by_count":1,"area":"lr"},{"id":"2510.11217","title":"Domain-Specific Data Generation Framework for RAG Adaptation","created":"2025-10-13","cited_by_count":1,"area":"lr"},{"id":"2510.24652","title":"Optimizing Retrieval for RAG via Reinforcement Learning","created":"2025-10-28","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":"2601.07245","title":"Learning to Trust the Crowd: A Multi-Model Consensus Reasoning Engine for Large Language Models","created":"2026-01-12","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":"2601.13115","title":"Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning","created":"2026-01-19","cited_by_count":1,"area":"lr"}],"next_cursor":"100"}