{"total":64,"rows":[{"id":"2407.01603","title":"A Review of Large Language Models and Autonomous Agents in Chemistry","created":"2024-06-26","cited_by_count":99,"area":"agents"},{"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":"2503.18968","title":"MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow","created":"2025-03-21","cited_by_count":73,"area":"lr"},{"id":"2503.18102","title":"AgentRxiv: Towards Collaborative Autonomous Research","created":"2025-03-23","cited_by_count":72,"area":null},{"id":"2402.04247","title":"Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy","created":"2024-02-06","cited_by_count":49,"area":null},{"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":"2507.20280","title":"SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration","created":"2025-07-27","cited_by_count":43,"area":"agents"},{"id":"2407.10022","title":"AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence","created":"2024-07-13","cited_by_count":36,"area":"agents"},{"id":"2508.17281","title":"From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Users","created":"2025-08-24","cited_by_count":32,"area":"agents"},{"id":"2506.14728","title":"AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes","created":"2025-06-17","cited_by_count":30,"area":"agents"},{"id":"2505.15047","title":"PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration","created":"2025-05-21","cited_by_count":28,"area":"agents"},{"id":"2502.13959","title":"LIDDIA: Language-based Intelligent Drug Discovery Agent","created":"2025-02-19","cited_by_count":24,"area":null},{"id":"2502.09565","title":"MDCrow: Automating Molecular Dynamics Workflows with Large Language Models","created":"2025-02-13","cited_by_count":22,"area":null},{"id":"2502.17506","title":"RAG-Enhanced Collaborative LLM Agents for Drug Discovery","created":"2025-02-22","cited_by_count":18,"area":"agents"},{"id":"2403.01528","title":"Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey","created":"2024-03-03","cited_by_count":17,"area":null},{"id":"2509.16736","title":"Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approach","created":"2025-09-20","cited_by_count":12,"area":"agents"},{"id":"2603.21011","title":"ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods","created":"2026-01-08","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":"2506.05616","title":"Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists","created":"2025-06-05","cited_by_count":10,"area":"agents"},{"id":"2405.19076","title":"Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design","created":"2024-05-29","cited_by_count":9,"area":"mllm"},{"id":"2505.04997","title":"Foam-Agent: A Large Language Model-Based Multi-Agent Framework for Automating Computational Fluid Dynamics Workflows","created":"2025-05-08","cited_by_count":9,"area":"agents"},{"id":"2508.07880","title":"Multi-agent systems for chemical engineering: A review and perspective","created":"2025-08-11","cited_by_count":9,"area":"agents"},{"id":"2602.07491","title":"GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design","created":"2026-02-07","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":"2504.08810","title":"PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration","created":"2025-04-09","cited_by_count":7,"area":null},{"id":"2510.00510","title":"JoyAgent-JDGenie: Technical Report on the GAIA","created":"2025-10-01","cited_by_count":7,"area":null},{"id":"2602.05446","title":"DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviors","created":"2026-02-05","cited_by_count":7,"area":"agents"},{"id":"2410.13768","title":"Rapid and Automated Alloy Design with Graph Neural Network-Powered LLM-Driven Multi-Agent Systems","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2501.10282","title":"Computational Protein Science in the Era of Large Language Models (LLMs)","created":"2025-01-17","cited_by_count":6,"area":null},{"id":"2602.00185","title":"QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities","created":"2026-01-30","cited_by_count":6,"area":"agents"},{"id":"2411.05421","title":"Learning the rules of peptide self-assembly through data mining with large language models","created":"2024-11-08","cited_by_count":5,"area":null},{"id":"2505.09595","title":"WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models","created":"2025-05-14","cited_by_count":5,"area":null},{"id":"2506.09173","title":"The Curious Language Model: Strategic Test-Time Information Acquisition","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2511.22311","title":"Swarms of Large Language Model Agents for Protein Sequence Design with Experimental Validation","created":"2025-11-27","cited_by_count":5,"area":"agents"},{"id":"2512.04129","title":"Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation","created":"2025-12-03","cited_by_count":5,"area":"agents"},{"id":"2504.14681","title":"An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework","created":"2025-04-20","cited_by_count":4,"area":"agents"},{"id":"2510.02389","title":"From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization","created":"2025-09-30","cited_by_count":4,"area":"agents"},{"id":"2606.01444","title":"Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence","created":"2026-05-31","cited_by_count":4,"area":"agents"},{"id":"2607.00924","title":"Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination","created":"2026-07-01","cited_by_count":4,"area":"lr"},{"id":"2408.11793","title":"Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design","created":"2024-08-21","cited_by_count":3,"area":"rag"},{"id":"2502.14904","title":"Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2501.03259","title":"Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2508.03444","title":"An Auditable Agent Platform For Automated Molecular Optimisation","created":"2025-08-05","cited_by_count":2,"area":"lr"},{"id":"2602.00197","title":"Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction","created":"2026-01-30","cited_by_count":2,"area":"lr"},{"id":"2505.17154","title":"Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2506.21329","title":"Active Inference AI Systems for Scientific Discovery","created":"2025-06-26","cited_by_count":1,"area":null},{"id":"2508.02956","title":"Autonomous Inorganic Materials Discovery via Multi-Agent Physics-Aware Scientific Reasoning","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2604.06747","title":"TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2606.02386","title":"AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design","created":"2026-06-01","cited_by_count":1,"area":"lr"},{"id":"2607.20058","title":"Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model","created":"2026-07-22","cited_by_count":1,"area":null},{"id":"2508.06591","title":"Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2602.20639","title":"Grounding LLMs in Scientific Discovery via Embodied Actions","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.15952","title":"Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents","created":"2026-03-16","cited_by_count":0,"area":"lr"},{"id":"2605.05405","title":"Zero-Shot Satellite Image Retrieval through Joint Embeddings: Application to Crisis Response","created":"2026-05-06","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":"2605.22300","title":"Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.23754","title":"LLM-driven design of physics-constrained constitutive models: two agents are better than one","created":"2026-05-22","cited_by_count":0,"area":"agents"},{"id":"2607.27556","title":"Evaluating Agentic Bioinformatics through Function, Evidence, and Validation","created":"2026-07-30","cited_by_count":0,"area":"agents"},{"id":"2608.10795","title":"EvoMem: Memory-Augmented Evolution for Code Optimization","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.18508","title":"Science Done on a Machine by a Machine: AI Agents in Computational Chemistry","created":"2026-08-19","cited_by_count":0,"area":"agents"},{"id":"2608.20755","title":"Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.23622","title":"LLM Agents Perform Controlled Experiments Using Simulation Models","created":"2026-08-22","cited_by_count":0,"area":"agents"},{"id":"2609.28921","title":"PFArena: Benchmarking Language Models for Protein Modification","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.06190","title":"Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design","created":"2026-10-05","cited_by_count":0,"area":"agents"}],"next_cursor":null}