{"total":53,"rows":[{"id":"2504.13958","title":"ToolRL: Reward is All Tool Learning Needs","created":"2025-04-16","cited_by_count":362,"area":"agents"},{"id":"2503.21460","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","created":"2025-03-27","cited_by_count":205,"area":"agents"},{"id":"2503.24047","title":"Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents","created":"2025-03-31","cited_by_count":98,"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":"2409.11654","title":"How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities","created":"2024-09-18","cited_by_count":57,"area":null},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2503.12434","title":"A Survey on the Optimization of Large Language Model-based Agents","created":"2025-03-16","cited_by_count":46,"area":"agents"},{"id":"2411.15692","title":"DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration","created":"2024-11-24","cited_by_count":44,"area":"agents"},{"id":"2502.17506","title":"RAG-Enhanced Collaborative LLM Agents for Drug Discovery","created":"2025-02-22","cited_by_count":18,"area":"agents"},{"id":"2507.23276","title":"How Far Are AI Scientists from Changing the World?","created":"2025-07-31","cited_by_count":15,"area":null},{"id":"2509.21403","title":"LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?","created":"2025-09-24","cited_by_count":14,"area":null},{"id":"2601.01678","title":"HeurekaBench: A Benchmarking Framework for AI Co-scientist","created":"2026-01-04","cited_by_count":12,"area":"lr"},{"id":"2606.20683","title":"From Question Answering to Task Completion: A Survey on Agent System and Harness Design","created":"2026-06-14","cited_by_count":12,"area":"agents"},{"id":"2510.09901","title":"Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics","created":"2025-10-10","cited_by_count":11,"area":"agents"},{"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":"2502.21290","title":"Contextualizing biological perturbation experiments through language","created":"2025-02-28","cited_by_count":10,"area":null},{"id":"2510.04587","title":"Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior","created":"2025-10-06","cited_by_count":10,"area":"lr"},{"id":"2605.26087","title":"DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking","created":"2026-05-25","cited_by_count":10,"area":"lr"},{"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":"2505.16100","title":"BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research","created":"2025-05-22","cited_by_count":8,"area":"agents"},{"id":"2510.00510","title":"JoyAgent-JDGenie: Technical Report on the GAIA","created":"2025-10-01","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":"2508.07043","title":"K-Dense Analyst: Towards Fully Automated Scientific Analysis","created":"2025-08-09","cited_by_count":6,"area":null},{"id":"2509.24978","title":"Agentic Exploration of Physics Models","created":"2025-09-29","cited_by_count":6,"area":"agents"},{"id":"2510.15280","title":"Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition","created":"2025-10-17","cited_by_count":6,"area":null},{"id":"2606.11150","title":"ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity","created":"2026-06-09","cited_by_count":6,"area":"agents"},{"id":"2506.09173","title":"The Curious Language Model: Strategic Test-Time Information Acquisition","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2506.09656","title":"Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives","created":"2025-06-11","cited_by_count":5,"area":"agents"},{"id":"2508.16112","title":"IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra","created":"2025-08-22","cited_by_count":5,"area":null},{"id":"2503.04734","title":"What can large language models do for sustainable food?","created":"2025-02-02","cited_by_count":4,"area":null},{"id":"2602.01550","title":"S1-NexusAgent: a Self-Evolving Agent Framework for Multidisciplinary Scientific Research","created":"2026-02-02","cited_by_count":4,"area":"agents"},{"id":"2606.24235","title":"SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis","created":"2026-06-23","cited_by_count":4,"area":null},{"id":"2502.17189","title":"IGDA: Interactive Graph Discovery through Large Language Model Agents","created":"2025-02-24","cited_by_count":3,"area":"agents"},{"id":"2509.19988","title":"BioBO: Biology-informed Bayesian Optimization for Perturbation Design","created":"2025-09-24","cited_by_count":2,"area":null},{"id":"2607.01131","title":"Autonomous Scientific Discovery via Iterative Meta-Reflection","created":"2026-07-01","cited_by_count":2,"area":null},{"id":"2410.03380","title":"Identifying biological perturbation targets through causal differential networks","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2509.09740","title":"HypoGeneAgent: A Hypothesis Language Agent for Gene-Set Cluster Resolution Selection Using Perturb-seq Datasets","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2510.07706","title":"Large Language Models Meet Virtual Cell: A Survey","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2603.26177","title":"Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery","created":"2026-03-27","cited_by_count":1,"area":"agents"},{"id":"2606.07718","title":"A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline","created":"2026-06-05","cited_by_count":1,"area":"agents"},{"id":"2609.13437","title":"LabAgent: Customize Any Research Hubs for Scientific Discoveries Using AI Agents","created":"2026-09-11","cited_by_count":1,"area":null},{"id":"2502.01012","title":"Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics","created":"2025-02-03","cited_by_count":0,"area":null},{"id":"2508.20275","title":"A Systematic Review on the Generative AI Applications in Human Medical Genomics","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2511.18259","title":"DiscoVerse: Multi-Agent Pharmaceutical Co-Scientist for Traceable Drug Discovery and Reverse Translation","created":"2025-11-23","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":"2605.05985","title":"BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine","created":"2026-05-07","cited_by_count":0,"area":"agents"},{"id":"2605.20425","title":"AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.02618","title":"Closed-Loop Molecular Design with Calibrated Deference","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2607.27556","title":"Evaluating Agentic Bioinformatics through Function, Evidence, and Validation","created":"2026-07-30","cited_by_count":0,"area":"agents"},{"id":"2609.03871","title":"Bioinfoysis Technical Report","created":"2026-09-03","cited_by_count":0,"area":"agents"},{"id":"2609.31939","title":"BioDyad: Synchronize Biomedical Discovery and Machine Learning Engineering","created":"2026-09-25","cited_by_count":0,"area":"agents"},{"id":"2610.18449","title":"Autonomous Science Bench: Evaluating AI Agents for Autonomous Scientific Discovery","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.18880","title":"Do Perturbation Predictors Learn Gene Interactions? Diagnosing Extrapolation in Agentic Screening","created":"2026-10-01","cited_by_count":0,"area":"agents"}],"next_cursor":null}