{"total":124,"rows":[{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"id":"2504.19678","title":"From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review","created":"2025-04-28","cited_by_count":149,"area":"lr"},{"id":"2506.18096","title":"Deep Research Agents: A Systematic Examination And Roadmap","created":"2025-06-22","cited_by_count":128,"area":"agents"},{"id":"2503.23037","title":"Agentic Large Language Models, a survey","created":"2025-03-29","cited_by_count":108,"area":"agents"},{"id":"2504.15228","title":"A Self-Improving Coding Agent","created":"2025-04-21","cited_by_count":79,"area":"agents"},{"id":"2503.18102","title":"AgentRxiv: Towards Collaborative Autonomous Research","created":"2025-03-23","cited_by_count":72,"area":null},{"id":"2507.02554","title":"AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench","created":"2025-07-03","cited_by_count":71,"area":"agents"},{"id":"2503.11733","title":"LLM Agents for Education: Advances and Applications","created":"2025-03-14","cited_by_count":59,"area":"agents"},{"id":"2510.06189","title":"Barbarians at the Gate: How AI is Upending Systems Research","created":"2025-10-07","cited_by_count":54,"area":null},{"id":"2505.23752","title":"ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks","created":"2025-05-29","cited_by_count":46,"area":"lr"},{"id":"2505.02484","title":"El Agente: An Autonomous Agent for Quantum Chemistry","created":"2025-05-05","cited_by_count":44,"area":"agents"},{"id":"2504.00255","title":"SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers","created":"2025-03-31","cited_by_count":43,"area":"agents"},{"id":"2602.06855","title":"AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents","created":"2026-02-06","cited_by_count":38,"area":"agents"},{"id":"2506.02314","title":"ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code","created":"2025-06-02","cited_by_count":36,"area":null},{"id":"2504.09702","title":"MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?","created":"2025-04-13","cited_by_count":28,"area":"agents"},{"id":"2601.14525","title":"Towards Execution-Grounded Automated AI Research","created":"2026-01-20","cited_by_count":28,"area":null},{"id":"2504.12976","title":"Sparks of Science: Hypothesis Generation Using Structured Paper Data","created":"2025-04-17","cited_by_count":25,"area":null},{"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":"2508.02744","title":"Large Language Model-based Data Science Agent: A Survey","created":"2025-08-02","cited_by_count":23,"area":"agents"},{"id":"2602.15112","title":"ResearchGym: Evaluating Language Model Agents on Real-World AI Research","created":"2026-02-16","cited_by_count":22,"area":"agents"},{"id":"2512.16848","title":"Meta-RL Induces Exploration in Language Agents","created":"2025-12-18","cited_by_count":21,"area":"lr"},{"id":"2505.24876","title":"Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks","created":"2025-05-30","cited_by_count":19,"area":"lr"},{"id":"2510.27598","title":"InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research","created":"2025-10-31","cited_by_count":19,"area":"agents"},{"id":"2506.22598","title":"RExBench: Can coding agents autonomously implement AI research extensions?","created":"2025-06-27","cited_by_count":18,"area":"agents"},{"id":"2511.19773","title":"Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs","created":"2025-11-24","cited_by_count":17,"area":"lr"},{"id":"2605.08678","title":"MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI","created":"2026-05-09","cited_by_count":17,"area":null},{"id":"2606.07591","title":"ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research","created":"2026-05-28","cited_by_count":17,"area":"agents"},{"id":"2602.02905","title":"FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights","created":"2026-02-02","cited_by_count":16,"area":"agents"},{"id":"2506.03828","title":"AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance","created":"2025-06-04","cited_by_count":15,"area":"agents"},{"id":"2601.04583","title":"Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries","created":"2026-01-08","cited_by_count":13,"area":"agents"},{"id":"2606.05080","title":"AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?","created":"2026-06-03","cited_by_count":13,"area":null},{"id":"2606.12736","title":"Benchmarking AI Agents for Addressing Scientific Challenges Across Scales","created":"2026-06-10","cited_by_count":12,"area":null},{"id":"2601.20882","title":"DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle","created":"2026-01-27","cited_by_count":11,"area":null},{"id":"2605.18661","title":"AI for Auto-Research: Roadmap & User Guide","created":"2026-05-18","cited_by_count":11,"area":null},{"id":"2608.20318","title":"AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement","created":"2026-08-20","cited_by_count":11,"area":"agents"},{"id":"2609.26457","title":"Recursive self-improvement of AI research agents","created":"2026-09-22","cited_by_count":11,"area":"agents"},{"id":"2506.02672","title":"EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving","created":"2025-06-03","cited_by_count":10,"area":null},{"id":"2509.04499","title":"DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence","created":"2025-09-02","cited_by_count":10,"area":"agents"},{"id":"2601.05930","title":"Can We Predict Before Executing Machine Learning Agents?","created":"2026-01-09","cited_by_count":10,"area":"agents"},{"id":"2603.01203","title":"How Well Does Agent Development Reflect Real-World Work?","created":"2026-03-01","cited_by_count":10,"area":null},{"id":"2603.11337","title":"RewardHackingAgents: Benchmarking Evaluation Integrity for LLM ML-Engineering Agents","created":"2026-03-11","cited_by_count":10,"area":"agents"},{"id":"2606.24530","title":"NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?","created":"2026-06-23","cited_by_count":10,"area":"agents"},{"id":"2607.27191","title":"Can AI agents conduct open-ended AI research? Early evidence from two case studies","created":"2026-07-29","cited_by_count":10,"area":null},{"id":"2505.10571","title":"On the Failure of Latent State Persistence in Large Language Models","created":"2025-04-30","cited_by_count":9,"area":"lr"},{"id":"2506.03231","title":"NetArena: Dynamic Benchmarks for AI Agents in Network Automation","created":"2025-06-03","cited_by_count":9,"area":null},{"id":"2507.11810","title":"Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator","created":"2025-07-16","cited_by_count":9,"area":null},{"id":"2510.07307","title":"MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline","created":"2025-10-08","cited_by_count":9,"area":"agents"},{"id":"2604.10547","title":"Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?","created":"2026-04-12","cited_by_count":9,"area":"agents"},{"id":"2608.05179","title":"Autonomous Research Agents: A Survey of AI Scientists and the Verification Gap","created":"2026-06-29","cited_by_count":9,"area":"agents"},{"id":"2608.13331","title":"Training AI Scientists to Replicate Research","created":"2026-08-13","cited_by_count":9,"area":null},{"id":"2512.05356","title":"AI & Human Co-Improvement for Safer Co-Superintelligence","created":"2025-12-05","cited_by_count":8,"area":null},{"id":"2603.27146","title":"Learning to Predict Future-Aligned Research Proposals with Language Models","created":"2026-03-28","cited_by_count":8,"area":null},{"id":"2604.14116","title":"TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration","created":"2026-04-15","cited_by_count":8,"area":"agents"},{"id":"2605.16616","title":"MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility","created":"2026-05-15","cited_by_count":8,"area":null},{"id":"2606.12191","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","created":"2026-06-10","cited_by_count":8,"area":"agents"},{"id":"2607.28568","title":"Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering","created":"2026-07-30","cited_by_count":8,"area":"synth"},{"id":"2608.14905","title":"How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks","created":"2026-08-14","cited_by_count":8,"area":"agents"},{"id":"2601.20996","title":"MADE: Benchmark Environments for Closed-Loop Materials Discovery","created":"2026-01-28","cited_by_count":7,"area":null},{"id":"2506.04098","title":"TextAtari: 100K Frames Game Playing with Language Agents","created":"2025-06-04","cited_by_count":6,"area":"agents"},{"id":"2506.05213","title":"LLM-First Search: Self-Guided Exploration of the Solution Space","created":"2025-06-05","cited_by_count":6,"area":"lr"},{"id":"2601.05567","title":"WildSci: Advancing Scientific Reasoning from In-the-Wild Literature","created":"2026-01-09","cited_by_count":6,"area":"lr"},{"id":"2512.00371","title":"Evaluating LLMs in Open-Source Games","created":"2025-11-29","cited_by_count":5,"area":null},{"id":"2512.23236","title":"KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta","created":"2025-12-29","cited_by_count":5,"area":"agents"},{"id":"2605.09698","title":"Ambig-DS: A Benchmark for Task-Framing Ambiguity in Data-Science Agents","created":"2026-05-10","cited_by_count":5,"area":"agents"},{"id":"2605.15871","title":"Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design","created":"2026-05-15","cited_by_count":5,"area":"agents"},{"id":"2606.13148","title":"TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?","created":"2026-06-11","cited_by_count":5,"area":"lr"},{"id":"2607.26587","title":"The Implementation Lottery: Auditing Idea Reliability in Automated Research","created":"2026-07-29","cited_by_count":5,"area":null},{"id":"2506.08800","title":"Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents","created":"2025-06-10","cited_by_count":4,"area":"agents"},{"id":"2512.01822","title":"InnoGym: Benchmarking the Innovation Potential of AI Agents","created":"2025-12-01","cited_by_count":4,"area":"lr"},{"id":"2606.01961","title":"AutoMedBench: Towards Medical AutoResearch with Agentic AI Models","created":"2026-06-01","cited_by_count":4,"area":"agents"},{"id":"2608.12564","title":"Scaling Automatic Research Agents via World Models","created":"2026-08-12","cited_by_count":4,"area":"wm"},{"id":"2609.19134","title":"ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments","created":"2026-09-16","cited_by_count":4,"area":null},{"id":"2510.15966","title":"PISA: A Pragmatic Psych-Inspired Unified Memory System for Enhanced AI Agency","created":"2025-10-12","cited_by_count":3,"area":null},{"id":"2604.06111","title":"AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments","created":"2026-04-07","cited_by_count":3,"area":null},{"id":"2604.14004","title":"Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents","created":"2026-04-15","cited_by_count":3,"area":"agents"},{"id":"2605.19743","title":"EngiAI: Capability-Based Evaluation of Tool-Connected LLM Agents for Engineering Design","created":"2026-05-19","cited_by_count":3,"area":"agents"},{"id":"2606.17838","title":"Environment-Grounded Automated Prompt Optimization for LLM Game Agents","created":"2026-06-16","cited_by_count":3,"area":"agents"},{"id":"2506.10157","title":"One Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence","created":"2025-06-11","cited_by_count":2,"area":"mllm"},{"id":"2507.08038","title":"AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research","created":"2025-07-09","cited_by_count":2,"area":"agents"},{"id":"2510.17491","title":"Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents","created":"2025-10-20","cited_by_count":2,"area":"lr"},{"id":"2512.00403","title":"SelfAI: A self-directed framework for long-horizon scientific discovery","created":"2025-11-29","cited_by_count":2,"area":null},{"id":"2512.14806","title":"Let the Barbarians In: How AI Can Accelerate Systems Performance Research","created":"2025-12-16","cited_by_count":2,"area":null},{"id":"2602.00299","title":"Agentic Framework for Epidemiological Modeling","created":"2026-01-30","cited_by_count":2,"area":"agents"},{"id":"2603.17216","title":"ML-AutoResearch: Training Machine Learning Research Agents with Automatically Generated Environments","created":"2026-03-17","cited_by_count":2,"area":"agents"},{"id":"2604.06566","title":"AI-Driven Research for Databases","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2606.25198","title":"Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty","created":"2026-06-23","cited_by_count":2,"area":"agents"},{"id":"2608.10424","title":"Recovering Wasted Compute in Autoresearch Agents","created":"2026-08-11","cited_by_count":2,"area":"agents"},{"id":"2608.21601","title":"K-Bench: measuring model performance on real scientific agent requests","created":"2026-08-21","cited_by_count":2,"area":"agents"},{"id":"2608.26701","title":"Accelerating Scientific Research with Gemini in the Real-World","created":"2026-08-27","cited_by_count":2,"area":null},{"id":"2511.12529","title":"Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing","created":"2025-11-16","cited_by_count":1,"area":null},{"id":"2603.15916","title":"Auto Researching, not hyperparameter tuning: Convergence Analysis of 10,000 Experiments","created":"2026-03-16","cited_by_count":1,"area":"agents"},{"id":"2604.07872","title":"PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2604.27977","title":"D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.01250","title":"EO-Gym: A Multimodal, Interactive Environment for Earth Observation Agents","created":"2026-05-02","cited_by_count":1,"area":null},{"id":"2606.03544","title":"SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2606.21891","title":"Learning the ARTS of Search for Automated Discovery","created":"2026-06-20","cited_by_count":1,"area":null},{"id":"2606.22866","title":"Discovering Crystal Structure Prediction Algorithms with an AI Co-Scientist","created":"2026-06-22","cited_by_count":1,"area":null},{"id":"2607.28632","title":"LLM Framework for Discovering Major Mathematical Conjectures: AI's Quest for the Next Riemann Hypothesis","created":"2026-04-19","cited_by_count":1,"area":null},{"id":"2609.05079","title":"TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents","created":"2026-09-04","cited_by_count":1,"area":"agents"},{"id":"2609.09219","title":"Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents","created":"2026-09-07","cited_by_count":1,"area":null}],"next_cursor":"100"}