{"total":148,"rows":[{"id":"2311.10537","title":"MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning","created":"2023-11-16","cited_by_count":316,"area":"lr"},{"id":"2412.18925","title":"HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs","created":"2024-12-25","cited_by_count":265,"area":"lr"},{"id":"2506.07044","title":"Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning","created":"2025-06-08","cited_by_count":230,"area":"lr"},{"id":"2207.08143","title":"Can large language models reason about medical questions?","created":"2022-07-17","cited_by_count":194,"area":"lr"},{"id":"2406.00922","title":"MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning","created":"2024-06-03","cited_by_count":154,"area":"lr"},{"id":"2503.05179","title":"Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching","created":"2025-03-07","cited_by_count":117,"area":"lr"},{"id":"2504.15585","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","created":"2025-04-22","cited_by_count":116,"area":"lr"},{"id":"2504.00993","title":"MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs","created":"2025-04-01","cited_by_count":110,"area":"lr"},{"id":"2305.14045","title":"The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning","created":"2023-05-23","cited_by_count":108,"area":"lr"},{"id":"2503.23077","title":"Efficient Inference for Large Reasoning Models: A Survey","created":"2025-03-29","cited_by_count":61,"area":"lr"},{"id":"2507.16812","title":"MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning","created":"2025-07-22","cited_by_count":59,"area":"lr"},{"id":"2305.13186","title":"SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables","created":"2023-05-22","cited_by_count":51,"area":"lr"},{"id":"2505.20347","title":"SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data","created":"2025-05-25","cited_by_count":51,"area":"lr"},{"id":"2402.04616","title":"Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation","created":"2024-02-07","cited_by_count":47,"area":"lr"},{"id":"2504.00869","title":"m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models","created":"2025-04-01","cited_by_count":46,"area":"lr"},{"id":"2502.04780","title":"SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning","created":"2025-02-07","cited_by_count":44,"area":"lr"},{"id":"2503.07459","title":"MedicalAgentsBench for Complex Medical Reasoning: Comparing Internalized Reasoning Models versus Externalized Agent-based Frameworks","created":"2025-03-10","cited_by_count":40,"area":"lr"},{"id":"2506.19835","title":"MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration","created":"2025-06-24","cited_by_count":40,"area":"lr"},{"id":"2506.00711","title":"QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training","created":"2025-05-31","cited_by_count":38,"area":"lr"},{"id":"2408.06621","title":"Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs","created":"2024-08-13","cited_by_count":36,"area":"lr"},{"id":"2505.11733","title":"MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports","created":"2025-05-16","cited_by_count":36,"area":"lr"},{"id":"2505.17952","title":"Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL","created":"2025-05-23","cited_by_count":36,"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":"2503.13399","title":"MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research","created":"2025-03-17","cited_by_count":32,"area":"lr"},{"id":"2403.04890","title":"Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering","created":"2024-03-07","cited_by_count":31,"area":"lr"},{"id":"2404.14777","title":"ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning","created":"2024-04-23","cited_by_count":31,"area":"lr"},{"id":"2502.14860","title":"ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning","created":"2025-02-20","cited_by_count":25,"area":"lr"},{"id":"2405.12541","title":"DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge","created":"2024-05-21","cited_by_count":24,"area":"lr"},{"id":"2501.12051","title":"MedS$^3$: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision","created":"2025-01-21","cited_by_count":24,"area":"lr"},{"id":"2506.11474","title":"Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards","created":"2025-06-13","cited_by_count":24,"area":"lr"},{"id":"2301.11596","title":"ThoughtSource: A central hub for large language model reasoning data","created":"2023-01-27","cited_by_count":23,"area":"lr"},{"id":"2506.04405","title":"MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science","created":"2025-06-04","cited_by_count":23,"area":"lr"},{"id":"2509.26062","title":"DyFlow: Dynamic Workflow Framework for Agentic Reasoning","created":"2025-09-30","cited_by_count":23,"area":"lr"},{"id":"2505.22919","title":"ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Room","created":"2025-05-28","cited_by_count":22,"area":"lr"},{"id":"2507.07988","title":"Automating Expert-Level Medical Reasoning Evaluation of Large Language Models","created":"2025-07-10","cited_by_count":22,"area":"lr"},{"id":"2505.14107","title":"DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models","created":"2025-05-20","cited_by_count":21,"area":"lr"},{"id":"2505.11462","title":"Disentangling Reasoning and Knowledge in Medical Large Language Models","created":"2025-05-16","cited_by_count":18,"area":"lr"},{"id":"2502.18274","title":"Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support","created":"2025-02-25","cited_by_count":16,"area":"lr"},{"id":"2505.07889","title":"BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science","created":"2025-05-11","cited_by_count":16,"area":"lr"},{"id":"2510.10909","title":"PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature","created":"2025-10-13","cited_by_count":15,"area":"lr"},{"id":"2510.17238","title":"StreamingThinker: Large Language Models Can Think While Reading","created":"2025-10-20","cited_by_count":15,"area":"lr"},{"id":"2403.06294","title":"ArgMed-Agents: Explainable Clinical Decision Reasoning with LLM Disscusion via Argumentation Schemes","created":"2024-03-10","cited_by_count":13,"area":"lr"},{"id":"2410.08475","title":"GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation","created":"2024-10-11","cited_by_count":13,"area":"lr"},{"id":"2507.13966","title":"Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need","created":"2025-07-18","cited_by_count":13,"area":"lr"},{"id":"2410.23703","title":"OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models","created":"2024-10-31","cited_by_count":12,"area":"lr"},{"id":"2511.17938","title":"SPINE: Token-Selective Test-Time Reinforcement Learning with Entropy-Band Regularization","created":"2025-11-22","cited_by_count":12,"area":"lr"},{"id":"2503.23513","title":"RARE: Retrieval-Augmented Reasoning Modeling","created":"2025-03-30","cited_by_count":11,"area":"lr"},{"id":"2602.17053","title":"RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models","created":"2026-02-19","cited_by_count":11,"area":"lr"},{"id":"2502.16660","title":"BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning","created":"2025-02-23","cited_by_count":10,"area":"lr"},{"id":"2509.15279","title":"Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning","created":"2025-09-18","cited_by_count":10,"area":"lr"},{"id":"2510.14438","title":"WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models","created":"2025-10-16","cited_by_count":10,"area":"lr"},{"id":"2601.03054","title":"IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation","created":"2026-01-06","cited_by_count":10,"area":"lr"},{"id":"2508.07827","title":"Evaluating Large Language Models as Expert Annotators","created":"2025-08-11","cited_by_count":9,"area":"lr"},{"id":"2510.10278","title":"Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models","created":"2025-10-11","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":"2606.05241","title":"Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation","created":"2026-06-03","cited_by_count":9,"area":"lr"},{"id":"2410.13987","title":"RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine","created":"2024-10-17","cited_by_count":7,"area":"lr"},{"id":"2505.19501","title":"Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning","created":"2025-05-26","cited_by_count":7,"area":"lr"},{"id":"2507.02822","title":"SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model","created":"2025-07-03","cited_by_count":7,"area":"lr"},{"id":"2508.08088","title":"HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches","created":"2025-08-11","cited_by_count":7,"area":"lr"},{"id":"2407.15569","title":"An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought","created":"2024-07-22","cited_by_count":6,"area":"lr"},{"id":"2407.16931","title":"ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering","created":"2024-07-24","cited_by_count":6,"area":"lr"},{"id":"2507.05714","title":"HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation","created":"2025-07-08","cited_by_count":6,"area":"lr"},{"id":"2508.12140","title":"Exploring Efficiency Frontiers of Thinking Budget in Medical Reasoning: Scaling Laws between Computational Resources and Reasoning Quality","created":"2025-08-16","cited_by_count":6,"area":"lr"},{"id":"2508.16213","title":"MedOmni-45{\\deg}: A Safety-Performance Benchmark for Reasoning-Oriented LLMs in Medicine","created":"2025-08-22","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":"2601.18496","title":"DEEPMED: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference","created":"2026-01-26","cited_by_count":6,"area":"lr"},{"id":"2501.11885","title":"Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine","created":"2025-01-21","cited_by_count":5,"area":"lr"},{"id":"2505.20246","title":"On Path to Multimodal Historical Reasoning: HistBench and HistAgent","created":"2025-05-26","cited_by_count":5,"area":"lr"},{"id":"2502.03325","title":"Electronic Circuit Principles of Large Language Models","created":"2025-02-05","cited_by_count":4,"area":"lr"},{"id":"2506.01252","title":"MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine","created":"2025-06-02","cited_by_count":4,"area":"lr"},{"id":"2506.05766","title":"BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions","created":"2025-06-06","cited_by_count":4,"area":"lr"},{"id":"2510.09426","title":"KORMo: Korean Open Reasoning Model for Everyone","created":"2025-10-10","cited_by_count":4,"area":"lr"},{"id":"2601.09361","title":"GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR","created":"2026-01-14","cited_by_count":4,"area":"lr"},{"id":"2602.11609","title":"scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery","created":"2026-02-12","cited_by_count":4,"area":"lr"},{"id":"2604.16506","title":"Medical thinking with multiple images","created":"2026-04-14","cited_by_count":4,"area":"lr"},{"id":"2305.17491","title":"FERMAT: An Alternative to Accuracy for Numerical Reasoning","created":"2023-05-27","cited_by_count":3,"area":"lr"},{"id":"2506.11166","title":"Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning","created":"2025-06-11","cited_by_count":3,"area":"lr"},{"id":"2506.13102","title":"Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs","created":"2025-06-16","cited_by_count":3,"area":"lr"},{"id":"2508.09363","title":"Resurrecting the Salmon: Rethinking Mechanistic Interpretability with Domain-Specific Sparse Autoencoders","created":"2025-08-12","cited_by_count":3,"area":"lr"},{"id":"2510.11985","title":"CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research","created":"2025-10-13","cited_by_count":3,"area":"lr"},{"id":"2510.15600","title":"Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism","created":"2025-10-17","cited_by_count":3,"area":"lr"},{"id":"2510.20535","title":"ARC-Encoder: learning compressed text representations for large language models","created":"2025-10-23","cited_by_count":3,"area":"lr"},{"id":"2510.21049","title":"Reasoning's Razor: Reasoning Improves Accuracy but Can Hurt Recall at Critical Operating Points in Safety and Hallucination Detection","created":"2025-10-23","cited_by_count":3,"area":"lr"},{"id":"2511.05747","title":"CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization","created":"2025-11-07","cited_by_count":3,"area":"lr"},{"id":"2602.00376","title":"MATRIX: A Multimodal Benchmark and Post-Training Framework for Materials Science","created":"2026-01-30","cited_by_count":3,"area":"lr"},{"id":"2604.00261","title":"Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study","created":"2026-03-31","cited_by_count":3,"area":"lr"},{"id":"2301.02983","title":"Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text","created":"2023-01-08","cited_by_count":2,"area":"lr"},{"id":"2305.14569","title":"Few-shot Unified Question Answering: Tuning Models or Prompts?","created":"2023-05-23","cited_by_count":2,"area":"lr"},{"id":"2412.15748","title":"Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models","created":"2024-12-20","cited_by_count":2,"area":"lr"},{"id":"2505.18283","title":"TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification","created":"2025-05-23","cited_by_count":2,"area":"lr"},{"id":"2505.24217","title":"Semi-structured LLM Reasoners Can Be Rigorously Audited","created":"2025-05-30","cited_by_count":2,"area":"lr"},{"id":"2509.16360","title":"RephQA: Evaluating Readability of Large Language Models in Public Health Question Answering","created":"2025-09-19","cited_by_count":2,"area":"lr"},{"id":"2509.24560","title":"AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification","created":"2025-09-29","cited_by_count":2,"area":"lr"},{"id":"2511.08024","title":"Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning","created":"2025-11-11","cited_by_count":2,"area":"lr"},{"id":"2602.07905","title":"MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation","created":"2026-02-08","cited_by_count":2,"area":"lr"},{"id":"2507.18857","title":"PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning","created":"2025-07-25","cited_by_count":1,"area":"lr"},{"id":"2508.07308","title":"HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways","created":"2025-08-10","cited_by_count":1,"area":"lr"},{"id":"2510.09278","title":"CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts","created":"2025-10-10","cited_by_count":1,"area":"lr"},{"id":"2511.06418","title":"How Well Do LLMs Understand Drug Mechanisms? A Knowledge + Reasoning Evaluation Dataset","created":"2025-11-09","cited_by_count":1,"area":"lr"}],"next_cursor":"100"}