{"total":420,"rows":[{"id":"2308.11432","title":"A Survey on Large Language Model based Autonomous Agents","created":"2023-08-22","cited_by_count":2242,"area":"agents"},{"id":"2307.16789","title":"ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs","created":"2023-07-31","cited_by_count":1947,"area":"agents"},{"id":"2308.03688","title":"AgentBench: Evaluating LLMs as Agents","created":"2023-08-07","cited_by_count":1267,"area":"agents"},{"id":"2308.10144","title":"ExpeL: LLM Agents Are Experiential Learners","created":"2023-08-20","cited_by_count":876,"area":"agents"},{"id":"2402.17753","title":"Evaluating Very Long-Term Conversational Memory of LLM Agents","created":"2024-02-27","cited_by_count":830,"area":"agents"},{"id":"2308.10848","title":"AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors","created":"2023-08-21","cited_by_count":598,"area":"agents"},{"id":"2402.01030","title":"Executable Code Actions Elicit Better LLM Agents","created":"2024-02-01","cited_by_count":564,"area":"agents"},{"id":"2309.15817","title":"Identifying the Risks of LM Agents with an LM-Emulated Sandbox","created":"2023-09-25","cited_by_count":548,"area":"agents"},{"id":"2403.02691","title":"InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents","created":"2024-03-05","cited_by_count":538,"area":"agents"},{"id":"2501.06322","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","created":"2025-01-10","cited_by_count":431,"area":"agents"},{"id":"2501.04227","title":"Agent Laboratory: Using LLM Agents as Research Assistants","created":"2025-01-08","cited_by_count":425,"area":"agents"},{"id":"2402.02716","title":"Understanding the planning of LLM agents: A survey","created":"2024-02-05","cited_by_count":421,"area":"agents"},{"id":"2312.13771","title":"AppAgent: Multimodal Agents as Smartphone Users","created":"2023-12-21","cited_by_count":415,"area":"agents"},{"id":"2402.01622","title":"TravelPlanner: A Benchmark for Real-World Planning with Language Agents","created":"2024-02-02","cited_by_count":392,"area":"agents"},{"id":"2403.07718","title":"WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?","created":"2024-03-12","cited_by_count":363,"area":"agents"},{"id":"2310.12823","title":"AgentTuning: Enabling Generalized Agent Abilities for LLMs","created":"2023-10-19","cited_by_count":338,"area":"agents"},{"id":"2403.10517","title":"VideoAgent: Long-form Video Understanding with Large Language Model as Agent","created":"2024-03-15","cited_by_count":332,"area":"agents"},{"id":"2309.10691","title":"MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback","created":"2023-09-19","cited_by_count":297,"area":"agents"},{"id":"2401.10019","title":"R-Judge: Benchmarking Safety Risk Awareness for LLM Agents","created":"2024-01-18","cited_by_count":288,"area":"agents"},{"id":"2310.05915","title":"FireAct: Toward Language Agent Fine-tuning","created":"2023-10-09","cited_by_count":256,"area":"agents"},{"id":"2402.18679","title":"Data Interpreter: An LLM Agent For Data Science","created":"2024-02-28","cited_by_count":225,"area":"agents"},{"id":"2310.03128","title":"MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use","created":"2023-10-04","cited_by_count":217,"area":"agents"},{"id":"2403.02502","title":"Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents","created":"2024-03-04","cited_by_count":197,"area":"agents"},{"id":"2309.11436","title":"You Only Look at Screens: Multimodal Chain-of-Action Agents","created":"2023-09-20","cited_by_count":185,"area":"agents"},{"id":"2402.05120","title":"More Agents Is All You Need","created":"2024-02-03","cited_by_count":180,"area":"agents"},{"id":"2311.05997","title":"JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models","created":"2023-11-10","cited_by_count":171,"area":"agents"},{"id":"2504.19793","title":"Prompt Injection Attack to Tool Selection in LLM Agents","created":"2025-04-28","cited_by_count":158,"area":"agents"},{"id":"2309.10062","title":"SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models","created":"2023-09-18","cited_by_count":153,"area":"agents"},{"id":"2403.04783","title":"AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks","created":"2024-03-02","cited_by_count":145,"area":"agents"},{"id":"2310.10634","title":"OpenAgents: An Open Platform for Language Agents in the Wild","created":"2023-10-16","cited_by_count":137,"area":"agents"},{"id":"2402.11208","title":"Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents","created":"2024-02-17","cited_by_count":137,"area":"agents"},{"id":"2308.16505","title":"Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations","created":"2023-08-31","cited_by_count":131,"area":"agents"},{"id":"2308.14296","title":"RecMind: Large Language Model Powered Agent For Recommendation","created":"2023-08-28","cited_by_count":129,"area":"agents"},{"id":"2404.08144","title":"LLM Agents can Autonomously Exploit One-day Vulnerabilities","created":"2024-04-11","cited_by_count":128,"area":"agents"},{"id":"2312.03664","title":"Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia","created":"2023-12-06","cited_by_count":126,"area":"agents"},{"id":"2310.01557","title":"SmartPlay: A Benchmark for LLMs as Intelligent Agents","created":"2023-10-02","cited_by_count":125,"area":"agents"},{"id":"2402.04253","title":"AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls","created":"2024-02-06","cited_by_count":124,"area":"agents"},{"id":"2308.10204","title":"ChatEDA: A Large Language Model Powered Autonomous Agent for EDA","created":"2023-08-20","cited_by_count":122,"area":"agents"},{"id":"2402.14034","title":"AgentScope: A Flexible yet Robust Multi-Agent Platform","created":"2024-02-21","cited_by_count":121,"area":"agents"},{"id":"2406.12373","title":"WebCanvas: Benchmarking Web Agents in Online Environments","created":"2024-06-18","cited_by_count":121,"area":"agents"},{"id":"2406.04151","title":"AgentGym: Evolving Large Language Model-based Agents across Diverse Environments","created":"2024-06-06","cited_by_count":120,"area":"agents"},{"id":"2406.14228","title":"EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms","created":"2024-06-20","cited_by_count":113,"area":"agents"},{"id":"2402.06664","title":"LLM Agents can Autonomously Hack Websites","created":"2024-02-06","cited_by_count":109,"area":"agents"},{"id":"2503.23037","title":"Agentic Large Language Models, a survey","created":"2025-03-29","cited_by_count":108,"area":"agents"},{"id":"2412.13501","title":"GUI Agents: A Survey","created":"2024-12-18","cited_by_count":103,"area":"agents"},{"id":"2402.09742","title":"AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator","created":"2024-02-15","cited_by_count":101,"area":"agents"},{"id":"2403.12881","title":"Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models","created":"2024-03-19","cited_by_count":100,"area":"agents"},{"id":"2402.04049","title":"Systematic Biases in LLM Simulations of Debates","created":"2024-02-06","cited_by_count":99,"area":"agents"},{"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":"2412.16682","title":"The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents","created":"2024-12-21","cited_by_count":99,"area":"agents"},{"id":"2409.17515","title":"From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection","created":"2024-09-26","cited_by_count":98,"area":"agents"},{"id":"2406.11176","title":"Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement","created":"2024-06-17","cited_by_count":88,"area":"agents"},{"id":"2407.07791","title":"Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities","created":"2024-07-10","cited_by_count":86,"area":"agents"},{"id":"2308.05960","title":"BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents","created":"2023-08-11","cited_by_count":84,"area":"agents"},{"id":"2404.02183","title":"Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization","created":"2024-04-02","cited_by_count":84,"area":"agents"},{"id":"2402.10753","title":"ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages","created":"2024-02-16","cited_by_count":82,"area":"agents"},{"id":"2403.12482","title":"Embodied LLM Agents Learn to Cooperate in Organized Teams","created":"2024-03-19","cited_by_count":82,"area":"agents"},{"id":"2401.05268","title":"AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning","created":"2024-01-10","cited_by_count":81,"area":"agents"},{"id":"2312.11865","title":"Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach","created":"2023-12-19","cited_by_count":79,"area":"agents"},{"id":"2401.00812","title":"If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents","created":"2024-01-01","cited_by_count":79,"area":"agents"},{"id":"2311.00262","title":"Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents","created":"2023-11-01","cited_by_count":77,"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":"2312.16044","title":"LLMLight: Large Language Models as Traffic Signal Control Agents","created":"2023-12-26","cited_by_count":73,"area":"agents"},{"id":"2310.06830","title":"Lemur: Harmonizing Natural Language and Code for Language Agents","created":"2023-10-10","cited_by_count":72,"area":"agents"},{"id":"2409.15594","title":"Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents","created":"2024-09-23","cited_by_count":72,"area":"agents"},{"id":"2309.17277","title":"Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4","created":"2023-09-29","cited_by_count":68,"area":"agents"},{"id":"2405.11106","title":"LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions","created":"2024-05-17","cited_by_count":67,"area":"agents"},{"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":"2502.08640","title":"Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs","created":"2025-02-12","cited_by_count":67,"area":"agents"},{"id":"2410.17236","title":"Large Language Models Empowered Personalized Web Agents","created":"2024-10-22","cited_by_count":66,"area":"agents"},{"id":"2310.16340","title":"RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models","created":"2023-10-25","cited_by_count":65,"area":"agents"},{"id":"2407.05890","title":"Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation","created":"2024-07-08","cited_by_count":65,"area":"agents"},{"id":"2411.09523","title":"Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents","created":"2024-11-14","cited_by_count":65,"area":"agents"},{"id":"2402.01586","title":"TrustAgent: Towards Safe and Trustworthy LLM-based Agents","created":"2024-02-02","cited_by_count":64,"area":"agents"},{"id":"2402.04559","title":"Can Large Language Model Agents Simulate Human Trust Behavior?","created":"2024-02-07","cited_by_count":64,"area":"agents"},{"id":"2406.14868","title":"Direct Multi-Turn Preference Optimization for Language Agents","created":"2024-06-21","cited_by_count":64,"area":"agents"},{"id":"2310.14985","title":"LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay","created":"2023-10-23","cited_by_count":63,"area":"agents"},{"id":"2504.13865","title":"A Survey on (M)LLM-Based GUI Agents","created":"2025-03-27","cited_by_count":62,"area":"agents"},{"id":"2403.03101","title":"KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents","created":"2024-03-05","cited_by_count":61,"area":"agents"},{"id":"2402.06596","title":"Understanding the Weakness of Large Language Model Agents within a Complex Android Environment","created":"2024-02-09","cited_by_count":60,"area":"agents"},{"id":"2404.14741","title":"Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering","created":"2024-04-23","cited_by_count":60,"area":"agents"},{"id":"2410.17401","title":"AdvAgent: Controllable Blackbox Red-teaming on Web Agents","created":"2024-10-22","cited_by_count":59,"area":"agents"},{"id":"2409.00608","title":"TinyAgent: Function Calling at the Edge","created":"2024-09-01","cited_by_count":58,"area":"agents"},{"id":"2311.08562","title":"MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration","created":"2023-11-14","cited_by_count":57,"area":"agents"},{"id":"2409.00135","title":"HoneyComb: A Flexible LLM-Based Agent System for Materials Science","created":"2024-08-29","cited_by_count":57,"area":"agents"},{"id":"2404.11972","title":"Aligning Language Models to Explicitly Handle Ambiguity","created":"2024-04-18","cited_by_count":56,"area":"agents"},{"id":"2410.07706","title":"AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories","created":"2024-10-10","cited_by_count":56,"area":"agents"},{"id":"2502.04306","title":"ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization","created":"2025-02-06","cited_by_count":56,"area":"agents"},{"id":"2404.16660","title":"Benchmarking Mobile Device Control Agents across Diverse Configurations","created":"2024-04-25","cited_by_count":55,"area":"agents"},{"id":"2509.10446","title":"DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL","created":"2025-09-12","cited_by_count":55,"area":"agents"},{"id":"2402.14865","title":"Dynamic Evaluation of Large Language Models by Meta Probing Agents","created":"2024-02-21","cited_by_count":54,"area":"agents"},{"id":"2310.10467","title":"Stance Detection with Collaborative Role-Infused LLM-Based Agents","created":"2023-10-16","cited_by_count":53,"area":"agents"},{"id":"2402.15506","title":"AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning","created":"2024-02-23","cited_by_count":53,"area":"agents"},{"id":"2405.00823","title":"WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting","created":"2024-05-01","cited_by_count":53,"area":"agents"},{"id":"2402.13717","title":"Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent","created":"2024-02-21","cited_by_count":52,"area":"agents"},{"id":"2402.08178","title":"LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents","created":"2024-02-13","cited_by_count":51,"area":"agents"},{"id":"2402.16965","title":"WIPI: A New Web Threat for LLM-Driven Web Agents","created":"2024-02-26","cited_by_count":51,"area":"agents"},{"id":"2402.11651","title":"Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents","created":"2024-02-18","cited_by_count":50,"area":"agents"},{"id":"2403.13679","title":"SocialBench: Sociality Evaluation of Role-Playing Conversational Agents","created":"2024-03-20","cited_by_count":50,"area":"agents"},{"id":"2501.02506","title":"ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use","created":"2025-01-05","cited_by_count":50,"area":"agents"}],"next_cursor":"100"}