{"total":132,"rows":[{"id":"2504.01848","title":"PaperBench: Evaluating AI's Ability to Replicate AI Research","created":"2025-04-02","cited_by_count":321,"area":null},{"id":"2502.13138","title":"AIDE: AI-Driven Exploration in the Space of Code","created":"2025-02-18","cited_by_count":226,"area":null},{"id":"2407.01502","title":"AI Agents That Matter","created":"2024-07-01","cited_by_count":219,"area":null},{"id":"2606.15497","title":"Towards End-to-End Automation of AI Research","created":"2026-03-31","cited_by_count":159,"area":null},{"id":"2503.14499","title":"Measuring AI Ability to Complete Long Software Tasks","created":"2025-03-18","cited_by_count":156,"area":null},{"id":"2411.00816","title":"CycleResearcher: Improving Automated Research via Automated Review","created":"2024-10-28","cited_by_count":148,"area":null},{"id":"2406.06769","title":"DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents","created":"2024-06-10","cited_by_count":100,"area":null},{"id":"2505.13259","title":"From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery","created":"2025-05-19","cited_by_count":93,"area":null},{"id":"2503.18102","title":"AgentRxiv: Towards Collaborative Autonomous Research","created":"2025-03-23","cited_by_count":72,"area":null},{"id":"2504.17192","title":"Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning","created":"2025-04-24","cited_by_count":70,"area":null},{"id":"2410.14255","title":"Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas","created":"2024-10-18","cited_by_count":57,"area":null},{"id":"2503.04629","title":"SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing","created":"2025-03-06","cited_by_count":49,"area":null},{"id":"2412.17767","title":"ResearchTown: Simulator of Human Research Community","created":"2024-12-23","cited_by_count":37,"area":null},{"id":"2504.11524","title":"HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation","created":"2025-04-15","cited_by_count":37,"area":null},{"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":"2410.22394","title":"AAAR-1.0: Assessing AI's Potential to Assist Research","created":"2024-10-29","cited_by_count":24,"area":null},{"id":"2503.17354","title":"HCAST: Human-Calibrated Autonomy Software Tasks","created":"2025-03-21","cited_by_count":24,"area":null},{"id":"2502.04510","title":"Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems","created":"2025-02-06","cited_by_count":23,"area":null},{"id":"2606.11926","title":"Toward Generalist Autonomous Research via Hypothesis-Tree Refinement","created":"2026-06-10","cited_by_count":22,"area":null},{"id":"2410.17309","title":"Literature Meets Data: A Synergistic Approach to Hypothesis Generation","created":"2024-10-22","cited_by_count":20,"area":null},{"id":"2411.10478","title":"Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey","created":"2024-11-11","cited_by_count":19,"area":null},{"id":"2504.16728","title":"IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery","created":"2025-04-23","cited_by_count":19,"area":null},{"id":"2505.21577","title":"RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving","created":"2025-05-27","cited_by_count":19,"area":null},{"id":"2510.06056","title":"Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research","created":"2025-10-07","cited_by_count":19,"area":null},{"id":"2506.00794","title":"Predicting Empirical AI Research Outcomes with Language Models","created":"2025-06-01","cited_by_count":17,"area":null},{"id":"2506.22419","title":"The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements","created":"2025-06-27","cited_by_count":15,"area":null},{"id":"2509.21403","title":"LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?","created":"2025-09-24","cited_by_count":14,"area":null},{"id":"2604.01007","title":"Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory","created":"2026-04-01","cited_by_count":14,"area":null},{"id":"2412.16746","title":"Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models","created":"2024-12-21","cited_by_count":13,"area":null},{"id":"2505.20538","title":"AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy","created":"2025-05-26","cited_by_count":13,"area":null},{"id":"2507.21184","title":"Can Language Models Discover Scaling Laws?","created":"2025-07-27","cited_by_count":13,"area":null},{"id":"2412.10415","title":"Generative Adversarial Reviews: When LLMs Become the Critic","created":"2024-12-09","cited_by_count":12,"area":null},{"id":"2510.23045","title":"A Survey of AI Scientists","created":"2025-10-27","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":"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":"2506.12278","title":"Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure","created":"2025-06-13","cited_by_count":10,"area":null},{"id":"2605.19156","title":"How Far Are We From True Auto-Research?","created":"2026-05-18","cited_by_count":10,"area":null},{"id":"2605.23204","title":"AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery","created":"2026-05-22","cited_by_count":10,"area":null},{"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":"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":"2510.12367","title":"LLM-REVal: Can We Trust LLM Reviewers Yet?","created":"2025-10-14","cited_by_count":9,"area":null},{"id":"2602.16805","title":"Simple Baselines are Competitive with Code Evolution","created":"2026-02-18","cited_by_count":9,"area":null},{"id":"2605.28655","title":"AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation","created":"2026-05-27","cited_by_count":9,"area":null},{"id":"2608.13331","title":"Training AI Scientists to Replicate Research","created":"2026-08-13","cited_by_count":9,"area":null},{"id":"2503.01424","title":"From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems","created":"2025-03-03","cited_by_count":8,"area":null},{"id":"2601.04390","title":"SciFig: Towards Automating Editable Figure Generation for Scientific Papers","created":"2026-01-07","cited_by_count":8,"area":null},{"id":"2603.23994","title":"Understanding the Challenges in Iterative Generative Optimization with LLMs","created":"2026-03-25","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":"2605.16616","title":"MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility","created":"2026-05-15","cited_by_count":8,"area":null},{"id":"2410.17218","title":"Creativity in AI: Progresses and Challenges","created":"2024-10-22","cited_by_count":7,"area":null},{"id":"2601.17596","title":"Learning to Ideate for Machine Learning Engineering Agents","created":"2026-01-24","cited_by_count":7,"area":null},{"id":"2409.18475","title":"Data Analysis in the Era of Generative AI","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2606.22731","title":"Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements","created":"2026-06-22","cited_by_count":6,"area":null},{"id":"2411.06590","title":"CriticAL: Critic Automation with Language Models","created":"2024-11-10","cited_by_count":5,"area":null},{"id":"2508.00875","title":"Preliminary suggestions for rigorous GPAI model evaluations","created":"2025-07-22","cited_by_count":5,"area":null},{"id":"2606.04261","title":"Can Generalist Agents Automate Data Curation?","created":"2026-06-02","cited_by_count":5,"area":null},{"id":"2606.21641","title":"When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model","created":"2026-06-19","cited_by_count":5,"area":null},{"id":"2511.14362","title":"SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature","created":"2025-11-18","cited_by_count":4,"area":null},{"id":"2602.07906","title":"AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering","created":"2026-02-08","cited_by_count":4,"area":null},{"id":"2602.24288","title":"DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science","created":"2026-02-27","cited_by_count":4,"area":null},{"id":"2608.13417","title":"Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development","created":"2026-08-13","cited_by_count":4,"area":null},{"id":"2608.17271","title":"ASI-Bench: At the Dawn of Artificial Superintelligence","created":"2026-08-18","cited_by_count":4,"area":null},{"id":"2412.14626","title":"LDC: Learning to Generate Research Idea with Dynamic Control","created":"2024-12-19","cited_by_count":3,"area":null},{"id":"2504.12345","title":"Reimagining Urban Science: Scaling Causal Inference with Large Language Models","created":"2025-04-15","cited_by_count":3,"area":null},{"id":"2510.14331","title":"LLM Priors for ERM over Programs","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2512.00672","title":"ML-Tool-Bench: Tool-Augmented Planning for ML Tasks","created":"2025-11-29","cited_by_count":3,"area":null},{"id":"2604.10718","title":"SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?","created":"2026-04-12","cited_by_count":3,"area":null},{"id":"2609.15973","title":"Discovery Foundation Models: Toward Open-Ended Discovery Intelligence","created":"2026-09-14","cited_by_count":3,"area":null},{"id":"2506.12312","title":"Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research","created":"2025-06-14","cited_by_count":2,"area":null},{"id":"2510.11694","title":"Operand Quant: A Single-Agent Architecture for Autonomous Machine Learning Engineering","created":"2025-10-13","cited_by_count":2,"area":null},{"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":"2603.04873","title":"SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms","created":"2026-03-05","cited_by_count":2,"area":null},{"id":"2604.04074","title":"FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification","created":"2026-04-05","cited_by_count":2,"area":null},{"id":"2604.20622","title":"pAI/MSc: ML Theory Research with Humans on the Loop","created":"2026-04-22","cited_by_count":2,"area":null},{"id":"2605.25045","title":"AION: Next-Generation Tasks and Practical Harness for Time Series","created":"2026-05-24","cited_by_count":2,"area":null},{"id":"2607.02440","title":"EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments","created":"2026-07-02","cited_by_count":2,"area":null},{"id":"2607.10522","title":"Towards Autonomous and Auditable Medical Imaging Model Development","created":"2026-07-12","cited_by_count":2,"area":null},{"id":"2607.25090","title":"Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering","created":"2026-07-27","cited_by_count":2,"area":null},{"id":"2608.02143","title":"Beyond Solution-Centric Search: Adaptive Inquiry and Knowledge Revision for Autonomous ML Engineering","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2608.19072","title":"What is Missing from AI Post-Training AI: An Empirical Analysis","created":"2026-08-19","cited_by_count":2,"area":null},{"id":"2609.02749","title":"Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills","created":"2026-09-02","cited_by_count":2,"area":null},{"id":"2402.11641","title":"Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models","created":"2024-02-18","cited_by_count":1,"area":null},{"id":"2410.22553","title":"ML Research Benchmark","created":"2024-10-29","cited_by_count":1,"area":null},{"id":"2505.17705","title":"CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2508.06111","title":"SKATE, a Scalable Tournament Eval: Weaker LLMs differentiate between stronger ones using verifiable challenges","created":"2025-08-08","cited_by_count":1,"area":null},{"id":"2603.20667","title":"REVERE: Reflective Evolving Research Engineer","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2605.07335","title":"CellScientist: From Execution Feedback to Auditable Model-Revision Trajectories for Cellular Perturbation Prediction","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2605.17792","title":"HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL","created":"2026-05-18","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":"2606.29871","title":"AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2607.28631","title":"Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review","created":"2026-04-18","cited_by_count":1,"area":null},{"id":"2608.10366","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","created":"2026-08-11","cited_by_count":1,"area":null},{"id":"2609.36679","title":"MLToolBench: Learning Tool-Augmented Agents for Machine Learning Development","created":"2026-09-29","cited_by_count":1,"area":null},{"id":"2610.04184","title":"EvalResearchBench: Can AI Agents Design Their Own Evaluations?","created":"2026-10-03","cited_by_count":1,"area":null},{"id":"2503.21138","title":"A Computational Theory for Efficient Mini Agent Evaluation with Causal Guarantees","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2508.04279","title":"Mockingbird: How does LLM perform in general machine learning tasks?","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2512.06006","title":"Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2604.21716","title":"From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation","created":"2026-04-23","cited_by_count":0,"area":null}],"next_cursor":"100"}