{"total":100,"rows":[{"id":"2506.13131","title":"AlphaEvolve: A coding agent for scientific and algorithmic discovery","created":"2025-06-16","cited_by_count":867,"area":"agents"},{"id":"2404.07738","title":"ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models","created":"2024-04-11","cited_by_count":210,"area":null},{"id":"2411.00816","title":"CycleResearcher: Improving Automated Research via Automated Review","created":"2024-10-28","cited_by_count":148,"area":null},{"id":"2401.03428","title":"Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects","created":"2024-01-07","cited_by_count":132,"area":"agents"},{"id":"2402.01761","title":"Rethinking Interpretability in the Era of Large Language Models","created":"2024-01-30","cited_by_count":111,"area":"lr"},{"id":"2503.08569","title":"DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process","created":"2025-03-11","cited_by_count":100,"area":"lr"},{"id":"2410.13185","title":"Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents","created":"2024-10-17","cited_by_count":97,"area":"agents"},{"id":"2406.10833","title":"A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery","created":"2024-06-16","cited_by_count":96,"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":"2503.08979","title":"Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions","created":"2025-03-12","cited_by_count":77,"area":"agents"},{"id":"2508.14111","title":"From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery","created":"2025-08-18","cited_by_count":77,"area":"agents"},{"id":"2410.07076","title":"MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses","created":"2024-10-09","cited_by_count":72,"area":null},{"id":"2404.04326","title":"Hypothesis Generation with Large Language Models","created":"2024-04-05","cited_by_count":71,"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":"2408.14033","title":"MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents","created":"2024-08-26","cited_by_count":67,"area":"agents"},{"id":"2503.21248","title":"ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition","created":"2025-03-27","cited_by_count":66,"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":"2509.14279","title":"Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization","created":"2025-09-16","cited_by_count":56,"area":"lr"},{"id":"2509.00496","title":"ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics","created":"2025-08-30","cited_by_count":49,"area":null},{"id":"2311.05965","title":"Large Language Models are Zero Shot Hypothesis Proposers","created":"2023-11-10","cited_by_count":45,"area":null},{"id":"2502.09858","title":"Automated Hypothesis Validation with Agentic Sequential Falsifications","created":"2025-02-14","cited_by_count":44,"area":"agents"},{"id":"2410.04025","title":"IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback","created":"2024-10-05","cited_by_count":42,"area":null},{"id":"2502.05151","title":"Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation","created":"2025-02-07","cited_by_count":42,"area":"mllm"},{"id":"2505.24785","title":"EXP-Bench: Can AI Conduct AI Research Experiments?","created":"2025-05-30","cited_by_count":37,"area":null},{"id":"2407.08940","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","created":"2024-07-12","cited_by_count":34,"area":null},{"id":"2506.17335","title":"LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research","created":"2025-06-19","cited_by_count":29,"area":"agents"},{"id":"2501.03916","title":"Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback","created":"2025-01-07","cited_by_count":25,"area":"lr"},{"id":"2411.02429","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","created":"2024-10-31","cited_by_count":23,"area":null},{"id":"2404.00450","title":"Planning and Editing What You Retrieve for Enhanced Tool Learning","created":"2024-03-30","cited_by_count":21,"area":"lr"},{"id":"2409.08466","title":"Explaining Datasets in Words: Statistical Models with Natural Language Parameters","created":"2024-09-13","cited_by_count":21,"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":"2502.16487","title":"All That Glitters is Not Novel: Plagiarism in AI Generated Research","created":"2025-02-23","cited_by_count":18,"area":null},{"id":"2504.20117","title":"ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies","created":"2025-04-28","cited_by_count":15,"area":"agents"},{"id":"2505.19209","title":"MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search","created":"2025-05-25","cited_by_count":15,"area":null},{"id":"2507.23276","title":"How Far Are AI Scientists from Changing the World?","created":"2025-07-31","cited_by_count":15,"area":null},{"id":"2509.25651","title":"AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation","created":"2025-09-30","cited_by_count":15,"area":null},{"id":"2504.20090","title":"Spark: A System for Scientifically Creative Idea Generation","created":"2025-04-25","cited_by_count":11,"area":null},{"id":"2506.00249","title":"MIR: Methodology Inspiration Retrieval for Scientific Research Problems","created":"2025-05-30","cited_by_count":11,"area":"lr"},{"id":"2510.10157","title":"BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation","created":"2025-10-11","cited_by_count":11,"area":null},{"id":"2510.23045","title":"A Survey of AI Scientists","created":"2025-10-27","cited_by_count":11,"area":null},{"id":"2506.12937","title":"HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance","created":"2025-06-15","cited_by_count":10,"area":"lr"},{"id":"2603.10303","title":"Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas","created":"2026-03-11","cited_by_count":10,"area":null},{"id":"2505.03049","title":"34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery","created":"2025-05-05","cited_by_count":9,"area":null},{"id":"2505.14599","title":"Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models","created":"2025-05-20","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":"2510.12367","title":"LLM-REVal: Can We Trust LLM Reviewers Yet?","created":"2025-10-14","cited_by_count":9,"area":null},{"id":"2411.15221","title":"Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry","created":"2024-11-20","cited_by_count":8,"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":"2503.05712","title":"Automatic Evaluation Metrics for Artificially Generated Scientific Research","created":"2025-02-14","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":"2504.08810","title":"PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration","created":"2025-04-09","cited_by_count":7,"area":null},{"id":"2509.01398","title":"The Need for Verification in AI-Driven Scientific Discovery","created":"2025-09-01","cited_by_count":7,"area":null},{"id":"2505.17873","title":"MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback","created":"2025-05-23","cited_by_count":6,"area":null},{"id":"2505.24615","title":"Harnessing Large Language Models for Scientific Novelty Detection","created":"2025-05-30","cited_by_count":6,"area":null},{"id":"2603.21728","title":"EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning","created":"2026-03-23","cited_by_count":6,"area":"lr"},{"id":"2605.11258","title":"Unlocking LLM Creativity in Science through Analogical Reasoning","created":"2026-05-11","cited_by_count":6,"area":"lr"},{"id":"2406.10557","title":"Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence","created":"2024-06-15","cited_by_count":5,"area":null},{"id":"2511.08866","title":"BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation","created":"2025-11-12","cited_by_count":4,"area":"agents"},{"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":"2603.03756","title":"MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier","created":"2026-03-04","cited_by_count":4,"area":"lr"},{"id":"2604.11003","title":"Sanity Checks for Agentic Data Science","created":"2026-04-13","cited_by_count":4,"area":"agents"},{"id":"2604.26506","title":"SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts","created":"2026-04-29","cited_by_count":4,"area":"safety"},{"id":"2411.00066","title":"Interpretable Next-token Prediction via the Generalized Induction Head","created":"2024-10-31","cited_by_count":3,"area":null},{"id":"2503.16561","title":"FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article","created":"2025-03-20","cited_by_count":3,"area":null},{"id":"2505.21396","title":"Augmenting Research Ideation with Data: An Empirical Investigation in Social Science","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2512.22334","title":"SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence","created":"2025-12-26","cited_by_count":3,"area":null},{"id":"2603.14575","title":"CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2605.24018","title":"EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery","created":"2026-05-20","cited_by_count":3,"area":"agents"},{"id":"2607.09195","title":"Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents","created":"2026-07-10","cited_by_count":3,"area":"agents"},{"id":"2603.27435","title":"Improving Attributed Long-form Question Answering with Intent Awareness","created":"2026-03-28","cited_by_count":2,"area":null},{"id":"2604.16922","title":"ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis","created":"2026-04-18","cited_by_count":2,"area":"agents"},{"id":"2502.18209","title":"League: Leaderboard Generation on Demand","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2504.20010","title":"Towards Automated Scoping of AI for Social Good Projects","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2505.18942","title":"Language Models Should be Used to Surface the Unwritten Code of Science and Society","created":"2025-05-25","cited_by_count":1,"area":null},{"id":"2506.12385","title":"Recent Advances and Future Directions in Literature-Based Discovery","created":"2025-06-14","cited_by_count":1,"area":null},{"id":"2506.21763","title":"THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning?","created":"2025-06-26","cited_by_count":1,"area":"lr"},{"id":"2507.15736","title":"IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research","created":"2025-07-21","cited_by_count":1,"area":null},{"id":"2601.09728","title":"Eliminating Agentic Workflow for Introduction Generation with Parametric Stage Tokens","created":"2025-12-28","cited_by_count":1,"area":"agents"},{"id":"2604.15145","title":"An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2605.03808","title":"Agentic-imodels: Evolving agentic interpretability tools via autoresearch","created":"2026-05-05","cited_by_count":1,"area":"agents"},{"id":"2606.22610","title":"PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement","created":"2026-06-21","cited_by_count":1,"area":"agents"},{"id":"2608.30109","title":"COGTRL: Training LLMs for Scientific Discovery Assistance using Cognitive Traces via Reinforcement Learning","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2610.11966","title":"MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation","created":"2026-10-08","cited_by_count":1,"area":"lr"},{"id":"2412.13645","title":"On the Role of Model Prior in Real-World Inductive Reasoning","created":"2024-12-18","cited_by_count":0,"area":"lr"},{"id":"2504.04640","title":"Splits! Flexible Sociocultural Linguistic Investigation at Scale","created":"2025-04-06","cited_by_count":0,"area":null},{"id":"2509.00185","title":"What Are Research Hypotheses?","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2510.06761","title":"Evolving and Executing Research Plans via Double-Loop Multi-Agent Collaboration","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.19698","title":"RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2512.01089","title":"CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents","created":"2025-11-30","cited_by_count":0,"area":"agents"},{"id":"2601.12988","title":"PaperGuide: Making Small Language-Model Paper-Reading Agents More Efficient","created":"2026-01-19","cited_by_count":0,"area":"agents"},{"id":"2602.20639","title":"Grounding LLMs in Scientific Discovery via Embodied Actions","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2604.12243","title":"Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.18786","title":"Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.21481","title":"AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.29475","title":"MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.08532","title":"DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2607.14118","title":"Budgeted Subset Refinement for Execution-Aware LLM Research Ideation","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2608.28315","title":"MAIL: Memory-driven, Adaptive, Incremental, and Literature-grounded Framework for Hypothesis Generation in Chemistry","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2608.29133","title":"AI Historian: Helping historians organize and verify person-centred temporal clues from dispersed historical narratives","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.12260","title":"HypoKG: Evidence-Disciplined Biomedical Hypothesis Generation Beyond Endpoint Knowledge","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}