{"total":87,"rows":[{"id":"2508.10925","title":"gpt-oss-120b & gpt-oss-20b Model Card","created":"2025-08-08","cited_by_count":1386,"area":"lr"},{"id":"2507.17746","title":"Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains","created":"2025-07-23","cited_by_count":366,"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":"2508.12790","title":"Reinforcement Learning with Rubric Anchors","created":"2025-08-18","cited_by_count":113,"area":"lr"},{"id":"2603.08640","title":"PostTrainBench: Can LLM Agents Automate LLM Post-Training?","created":"2026-03-09","cited_by_count":64,"area":"lr"},{"id":"2508.16949","title":"Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning","created":"2025-08-23","cited_by_count":63,"area":"lr"},{"id":"2602.05125","title":"Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks","created":"2026-02-04","cited_by_count":62,"area":"lr"},{"id":"2509.02208","title":"Baichuan-M2: Scaling Medical Capability with Large Verifier System","created":"2025-09-02","cited_by_count":59,"area":"lr"},{"id":"2510.18855","title":"Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model","created":"2025-10-21","cited_by_count":55,"area":"lr"},{"id":"2510.12712","title":"Beyond Seeing: Evaluating Multimodal LLMs on Tool-Enabled Image Perception, Transformation, and Reasoning","created":"2025-10-14","cited_by_count":29,"area":"lr"},{"id":"2602.10885","title":"Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics","created":"2026-02-11","cited_by_count":26,"area":"lr"},{"id":"2601.04171","title":"Agentic Rubrics as Contextual Verifiers for SWE Agents","created":"2026-01-07","cited_by_count":25,"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":"2510.16380","title":"MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes","created":"2025-10-18","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":"2511.12344","title":"Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning","created":"2025-11-15","cited_by_count":21,"area":"lr"},{"id":"2506.13351","title":"Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks","created":"2025-06-16","cited_by_count":18,"area":"lr"},{"id":"2604.11753","title":"Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks","created":"2026-04-13","cited_by_count":18,"area":"lr"},{"id":"2601.06021","title":"Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards","created":"2026-01-09","cited_by_count":14,"area":"lr"},{"id":"2606.19327","title":"Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation","created":"2026-06-17","cited_by_count":13,"area":"lr"},{"id":"2509.25534","title":"Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning","created":"2025-09-19","cited_by_count":11,"area":"lr"},{"id":"2508.00669","title":"Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications","created":"2025-08-01","cited_by_count":10,"area":"lr"},{"id":"2601.22155","title":"UEval: A Benchmark for Unified Multimodal Generation","created":"2026-01-29","cited_by_count":9,"area":"lr"},{"id":"2508.19097","title":"Reasoning LLMs in the Medical Domain: A Literature Survey","created":"2025-08-26","cited_by_count":6,"area":"lr"},{"id":"2602.01791","title":"Grad2Reward: From Sparse Judgment to Dense Rewards for Improving Open-Ended LLM Reasoning","created":"2026-02-02","cited_by_count":6,"area":"lr"},{"id":"2601.13742","title":"Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation","created":"2026-01-20","cited_by_count":5,"area":"lr"},{"id":"2602.21628","title":"RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning","created":"2026-02-25","cited_by_count":5,"area":"lr"},{"id":"2602.22273","title":"FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation","created":"2026-02-25","cited_by_count":5,"area":"lr"},{"id":"2603.27820","title":"Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning","created":"2026-03-29","cited_by_count":5,"area":"lr"},{"id":"2604.08559","title":"Medical Reasoning with Large Language Models: A Survey and MR-Bench","created":"2026-03-17","cited_by_count":4,"area":"lr"},{"id":"2604.16383","title":"Same Verdict, Different Reasons: LLM-as-a-Judge and Clinician Disagreement on Medical Chatbot Completeness","created":"2026-03-26","cited_by_count":4,"area":"lr"},{"id":"2605.30244","title":"Reinforcement Learning with Robust Rubric Rewards","created":"2026-05-28","cited_by_count":4,"area":"lr"},{"id":"2603.05867","title":"TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis","created":"2026-03-06","cited_by_count":3,"area":"lr"},{"id":"2603.20046","title":"Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs","created":"2026-03-20","cited_by_count":3,"area":"lr"},{"id":"2605.09584","title":"CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics","created":"2026-05-10","cited_by_count":3,"area":"lr"},{"id":"2507.23541","title":"Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning","created":"2025-07-31","cited_by_count":2,"area":"lr"},{"id":"2508.00081","title":"Rethinking Evidence Hierarchies in Medical Language Benchmarks: A Critical Evaluation of HealthBench","created":"2025-07-31","cited_by_count":2,"area":"lr"},{"id":"2508.09956","title":"Performance of GPT-5 Frontier Models in Ophthalmology Question Answering","created":"2025-08-13","cited_by_count":2,"area":"lr"},{"id":"2509.20866","title":"On the Robustness of Answer Formats in Medical Reasoning Models","created":"2025-09-25","cited_by_count":2,"area":"lr"},{"id":"2603.13988","title":"Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning","created":"2026-03-14","cited_by_count":2,"area":"lr"},{"id":"2603.19539","title":"FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug Assessment","created":"2026-03-20","cited_by_count":2,"area":"lr"},{"id":"2604.14892","title":"Can LLMs Accurately Score Medical Diagnoses and Clinical Reasoning?","created":"2026-04-16","cited_by_count":2,"area":"lr"},{"id":"2605.30824","title":"Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward","created":"2026-05-29","cited_by_count":2,"area":"lr"},{"id":"2606.12608","title":"Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping Assistants","created":"2026-06-10","cited_by_count":2,"area":"lr"},{"id":"2607.26873","title":"SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning","created":"2026-07-29","cited_by_count":2,"area":"lr"},{"id":"2608.07796","title":"CliniCARE-Bench: Clinical Calibrated Audit of Medical Reasoning in EHR","created":"2026-08-07","cited_by_count":2,"area":"lr"},{"id":"2608.26070","title":"Prefix Sliding for efficient test-time scaling","created":"2026-08-26","cited_by_count":2,"area":"lr"},{"id":"2508.04572","title":"Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding","created":"2025-08-06","cited_by_count":1,"area":"lr"},{"id":"2510.07774","title":"Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2602.02405","title":"Making Expert Reasoning Learnable with Self-Distillation","created":"2026-02-02","cited_by_count":1,"area":"lr"},{"id":"2603.27335","title":"PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering","created":"2026-03-28","cited_by_count":1,"area":"lr"},{"id":"2605.06444","title":"SCRuB: Social Concept Reasoning under Rubric-Based Evaluation","created":"2026-05-07","cited_by_count":1,"area":"lr"},{"id":"2606.02113","title":"A Primer in Post-Training Reasoning Data: What We Know About How It Works","created":"2026-06-01","cited_by_count":1,"area":"lr"},{"id":"2606.08850","title":"Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability","created":"2026-06-07","cited_by_count":1,"area":"lr"},{"id":"2607.02175","title":"A rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning tasks","created":"2026-07-02","cited_by_count":1,"area":"lr"},{"id":"2607.07761","title":"Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning","created":"2026-07-08","cited_by_count":1,"area":"lr"},{"id":"2608.18931","title":"Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck","created":"2026-08-19","cited_by_count":1,"area":"lr"},{"id":"2608.22126","title":"Decoupled Physical Modeling and Execution for Physics Reasoning","created":"2026-08-22","cited_by_count":1,"area":"lr"},{"id":"2609.12459","title":"EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning","created":"2026-09-11","cited_by_count":1,"area":"lr"},{"id":"2508.05132","title":"PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics Alignment","created":"2025-08-07","cited_by_count":0,"area":"lr"},{"id":"2509.15690","title":"CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair","created":"2025-09-19","cited_by_count":0,"area":"lr"},{"id":"2510.22898","title":"On Generalization in Agentic Tool Calling: CoreThink Agentic Reasoner and MAVEN Dataset","created":"2025-10-27","cited_by_count":0,"area":"lr"},{"id":"2511.12987","title":"Reuse, Don't Recompute: Efficient Large Reasoning Model Inference via Memory Orchestration","created":"2025-11-17","cited_by_count":0,"area":"lr"},{"id":"2512.23440","title":"ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning","created":"2025-12-29","cited_by_count":0,"area":"lr"},{"id":"2601.13690","title":"Dr. Assistant: Enhancing Clinical Diagnostic Inquiry via Structured Diagnostic Reasoning Data and Reinforcement Learning","created":"2026-01-20","cited_by_count":0,"area":"lr"},{"id":"2605.09505","title":"EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild","created":"2026-05-10","cited_by_count":0,"area":"lr"},{"id":"2605.15016","title":"COTCAgent: Preventive Consultation via Probabilistic Chain-of-Thought Completion","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2605.17101","title":"SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning","created":"2026-05-16","cited_by_count":0,"area":"lr"},{"id":"2605.19173","title":"Prompting language influences diagnostic reasoning and accuracy of large language models","created":"2026-05-18","cited_by_count":0,"area":"lr"},{"id":"2605.24635","title":"HiMed: Incentivizing Hindi Reasoning in Medical LLMs","created":"2026-05-23","cited_by_count":0,"area":"lr"},{"id":"2606.05174","title":"Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO","created":"2026-04-17","cited_by_count":0,"area":"lr"},{"id":"2606.08875","title":"Can the Environment Speak for Itself? $T^{2}$-GRPO: A Turn-Trajectory Group Relative Policy Optimization for Caregiver Agents","created":"2026-06-07","cited_by_count":0,"area":"lr"},{"id":"2606.11675","title":"Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning","created":"2026-06-10","cited_by_count":0,"area":"lr"},{"id":"2606.28556","title":"IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations","created":"2026-06-26","cited_by_count":0,"area":"lr"},{"id":"2606.29876","title":"Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency","created":"2026-06-29","cited_by_count":0,"area":"lr"},{"id":"2606.31608","title":"CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning","created":"2026-06-30","cited_by_count":0,"area":"lr"},{"id":"2608.03028","title":"Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning","created":"2026-08-04","cited_by_count":0,"area":"lr"},{"id":"2608.22622","title":"Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains","created":"2026-08-23","cited_by_count":0,"area":"lr"},{"id":"2608.31014","title":"Evidence-Bounded Mental Health Reasoning from Heterogeneous Speech Protocols","created":"2026-08-31","cited_by_count":0,"area":"lr"},{"id":"2609.05405","title":"WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data","created":"2026-09-04","cited_by_count":0,"area":"lr"},{"id":"2609.12822","title":"Scaling Clinical Judgment to Evaluate Medical AI","created":"2026-09-11","cited_by_count":0,"area":"lr"},{"id":"2609.24480","title":"Fathom-Vaidya: Advancing Medical Reasoning with Rubric-Based Rewards","created":"2026-09-21","cited_by_count":0,"area":"lr"},{"id":"2609.36900","title":"STAR-GRPO: Canonical Anchoring and Reliability-First Advantages against Representation-Dependent Reward Hacking","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2609.37145","title":"From Judgment Quality to Downstream Utility: Rethinking LLM-as-a-Judge for Open-Ended Tasks","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2609.37788","title":"A Proposed Rubric for Evaluating Expressed Clinical Reasoning in Large Language Model Responses","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.01383","title":"PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.17623","title":"RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}