{"total":176,"rows":[{"id":"2309.07864","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","created":"2023-09-14","cited_by_count":1439,"area":"agents"},{"id":"2303.17760","title":"CAMEL: Communicative Agents for \"Mind\" Exploration of Large Language Model Society","created":"2023-03-31","cited_by_count":1395,"area":"agents"},{"id":"2308.03688","title":"AgentBench: Evaluating LLMs as Agents","created":"2023-08-07","cited_by_count":1267,"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":"2209.14375","title":"Improving alignment of dialogue agents via targeted human judgements","created":"2022-09-28","cited_by_count":531,"area":"agents"},{"id":"2401.05566","title":"Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training","created":"2024-01-10","cited_by_count":529,"area":"agents"},{"id":"2310.10158","title":"Character-LLM: A Trainable Agent for Role-Playing","created":"2023-10-16","cited_by_count":339,"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":"2306.13304","title":"ToolQA: A Dataset for LLM Question Answering with External Tools","created":"2023-06-23","cited_by_count":274,"area":"agents"},{"id":"2402.19446","title":"ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL","created":"2024-02-29","cited_by_count":228,"area":"agents"},{"id":"2404.18231","title":"From Persona to Personalization: A Survey on Role-Playing Language Agents","created":"2024-04-28","cited_by_count":212,"area":"agents"},{"id":"2406.13352","title":"AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents","created":"2024-06-19","cited_by_count":145,"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":"2406.04151","title":"AgentGym: Evolving Large Language Model-based Agents across Diverse Environments","created":"2024-06-06","cited_by_count":120,"area":"agents"},{"id":"2306.11706","title":"RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation","created":"2023-06-20","cited_by_count":111,"area":"agents"},{"id":"2405.05175","title":"AirGapAgent: Protecting Privacy-Conscious Conversational Agents","created":"2024-05-08","cited_by_count":94,"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":"2412.03563","title":"From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents","created":"2024-12-04","cited_by_count":82,"area":"agents"},{"id":"2604.08224","title":"Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering","created":"2026-04-09","cited_by_count":74,"area":"agents"},{"id":"2410.13886","title":"Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents","created":"2024-10-11","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":"2404.11972","title":"Aligning Language Models to Explicitly Handle Ambiguity","created":"2024-04-18","cited_by_count":56,"area":"agents"},{"id":"2305.13455","title":"Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents","created":"2023-05-22","cited_by_count":54,"area":"agents"},{"id":"2410.17520","title":"MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control","created":"2024-10-23","cited_by_count":51,"area":"agents"},{"id":"2405.14125","title":"ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation","created":"2024-05-23","cited_by_count":47,"area":"agents"},{"id":"2407.20242","title":"BadRobot: Jailbreaking Embodied LLM Agents in the Physical World","created":"2024-07-16","cited_by_count":43,"area":"agents"},{"id":"2405.20267","title":"Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions","created":"2024-05-30","cited_by_count":42,"area":"agents"},{"id":"2410.01639","title":"Moral Alignment for LLM Agents","created":"2024-10-02","cited_by_count":39,"area":"agents"},{"id":"2508.21148","title":"A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers","created":"2025-08-28","cited_by_count":37,"area":"agents"},{"id":"2503.02682","title":"MPO: Boosting LLM Agents with Meta Plan Optimization","created":"2025-03-04","cited_by_count":36,"area":"agents"},{"id":"2401.00741","title":"ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios","created":"2024-01-01","cited_by_count":35,"area":"agents"},{"id":"2410.06101","title":"Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning","created":"2024-10-08","cited_by_count":33,"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":"2411.02006","title":"Foundations and Recent Trends in Multimodal Mobile Agents: A Survey","created":"2024-11-04","cited_by_count":31,"area":"agents"},{"id":"2605.26684","title":"Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning","created":"2026-05-26","cited_by_count":31,"area":"agents"},{"id":"2409.01392","title":"ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems","created":"2024-09-02","cited_by_count":30,"area":"agents"},{"id":"2504.14650","title":"A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents","created":"2025-04-20","cited_by_count":30,"area":"agents"},{"id":"2602.13379","title":"Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents","created":"2026-02-13","cited_by_count":30,"area":"agents"},{"id":"2312.14302","title":"Exploiting Novel GPT-4 APIs","created":"2023-12-21","cited_by_count":28,"area":"agents"},{"id":"2506.13666","title":"We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems","created":"2025-06-16","cited_by_count":27,"area":"agents"},{"id":"2406.08689","title":"Security of AI Agents","created":"2024-06-12","cited_by_count":26,"area":"agents"},{"id":"2410.14251","title":"Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation","created":"2024-10-18","cited_by_count":24,"area":"agents"},{"id":"2410.14569","title":"When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs","created":"2024-10-18","cited_by_count":24,"area":"agents"},{"id":"2401.17163","title":"Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat","created":"2024-01-30","cited_by_count":23,"area":"agents"},{"id":"2402.10196","title":"A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents","created":"2024-02-15","cited_by_count":22,"area":"agents"},{"id":"2410.07672","title":"MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization","created":"2024-10-10","cited_by_count":22,"area":"agents"},{"id":"2411.03817","title":"From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning","created":"2024-11-06","cited_by_count":22,"area":"agents"},{"id":"2506.02454","title":"Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework","created":"2025-06-03","cited_by_count":21,"area":"agents"},{"id":"2407.17915","title":"The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models","created":"2024-07-25","cited_by_count":20,"area":"agents"},{"id":"2310.01444","title":"Adapting LLM Agents with Universal Feedback in Communication","created":"2023-10-01","cited_by_count":19,"area":"agents"},{"id":"2505.00234","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","created":"2025-05-01","cited_by_count":19,"area":"agents"},{"id":"2312.06632","title":"Controlling risks of AI in chemical science with agents","created":"2023-12-11","cited_by_count":17,"area":"agents"},{"id":"2407.08095","title":"Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing","created":"2024-07-10","cited_by_count":17,"area":"agents"},{"id":"2406.00252","title":"Towards Rationality in Language and Multimodal Agents: A Survey","created":"2024-06-01","cited_by_count":16,"area":"agents"},{"id":"2505.18882","title":"Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach","created":"2025-05-24","cited_by_count":16,"area":"agents"},{"id":"2603.19469","title":"A Framework for Formalizing LLM Agent Security","created":"2026-03-19","cited_by_count":16,"area":"agents"},{"id":"2511.18538","title":"From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence","created":"2025-11-23","cited_by_count":15,"area":"agents"},{"id":"2607.04763","title":"Multi-Turn On-Policy Distillation with Prefix Replay","created":"2026-07-06","cited_by_count":15,"area":"agents"},{"id":"2503.21720","title":"Collab: Controlled Decoding using Mixture of Agents for LLM Alignment","created":"2025-03-27","cited_by_count":14,"area":"agents"},{"id":"2605.18930","title":"OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences","created":"2026-05-18","cited_by_count":14,"area":"agents"},{"id":"2511.02687","title":"The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation","created":"2025-11-04","cited_by_count":13,"area":"agents"},{"id":"2606.22995","title":"Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning","created":"2026-06-22","cited_by_count":13,"area":"agents"},{"id":"2506.17318","title":"Context manipulation attacks : Web agents are susceptible to corrupted memory","created":"2025-06-18","cited_by_count":12,"area":"agents"},{"id":"2510.16492","title":"Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety","created":"2025-10-18","cited_by_count":12,"area":"agents"},{"id":"2510.26396","title":"A Pragmatic View of AI Personhood","created":"2025-10-30","cited_by_count":12,"area":"agents"},{"id":"2601.03743","title":"O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL","created":"2026-01-07","cited_by_count":11,"area":"agents"},{"id":"2402.08078","title":"Large Language Models as Agents in Two-Player Games","created":"2024-02-12","cited_by_count":10,"area":"agents"},{"id":"2407.11843","title":"Preemptive Detection and Correction of Misaligned Actions in LLM Agents","created":"2024-07-16","cited_by_count":10,"area":"agents"},{"id":"2504.20965","title":"AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security","created":"2025-04-29","cited_by_count":10,"area":"agents"},{"id":"2509.16330","title":"Generalizability of Large Language Model-Based Agents: A Comprehensive Survey","created":"2025-09-19","cited_by_count":10,"area":"agents"},{"id":"2510.06674","title":"Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support","created":"2025-10-08","cited_by_count":10,"area":"agents"},{"id":"2510.08240","title":"The Alignment Waltz: Jointly Training Agents to Collaborate for Safety","created":"2025-10-09","cited_by_count":10,"area":"agents"},{"id":"2410.12376","title":"ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing","created":"2024-10-16","cited_by_count":9,"area":"agents"},{"id":"2506.06214","title":"Can Theoretical Physics Research Benefit from Language Agents?","created":"2025-06-06","cited_by_count":9,"area":"agents"},{"id":"2510.17017","title":"SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents","created":"2025-10-19","cited_by_count":9,"area":"agents"},{"id":"2305.11455","title":"Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models","created":"2023-05-19","cited_by_count":8,"area":"agents"},{"id":"2310.20499","title":"Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models","created":"2023-10-31","cited_by_count":8,"area":"agents"},{"id":"2412.15504","title":"Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework","created":"2024-12-20","cited_by_count":8,"area":"agents"},{"id":"2502.01714","title":"Position: Towards a Responsible LLM-empowered Multi-Agent Systems","created":"2025-02-03","cited_by_count":8,"area":"agents"},{"id":"2505.18397","title":"An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems","created":"2025-05-23","cited_by_count":8,"area":"agents"},{"id":"2605.11882","title":"On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment","created":"2026-05-12","cited_by_count":8,"area":"agents"},{"id":"2405.12900","title":"Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents","created":"2024-05-21","cited_by_count":7,"area":"agents"},{"id":"2411.13904","title":"Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning","created":"2024-11-21","cited_by_count":7,"area":"agents"},{"id":"2503.12757","title":"MAP: Multi-user Personalization with Collaborative LLM-powered Agents","created":"2025-03-17","cited_by_count":7,"area":"agents"},{"id":"2506.11083","title":"RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates","created":"2025-06-04","cited_by_count":7,"area":"agents"},{"id":"2509.05882","title":"Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent Outcomes","created":"2025-09-07","cited_by_count":7,"area":"agents"},{"id":"2602.13840","title":"PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training","created":"2026-02-14","cited_by_count":7,"area":"agents"},{"id":"2310.06775","title":"Conceptual Framework for Autonomous Cognitive Entities","created":"2023-10-03","cited_by_count":6,"area":"agents"},{"id":"2412.16325","title":"Towards Safe and Honest AI Agents with Neural Self-Other Overlap","created":"2024-12-20","cited_by_count":6,"area":"agents"},{"id":"2505.17735","title":"SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator","created":"2025-05-23","cited_by_count":6,"area":"agents"},{"id":"2508.13465","title":"LM Agents May Fail to Act on Their Own Risk Knowledge","created":"2025-08-19","cited_by_count":6,"area":"agents"},{"id":"2510.05605","title":"AutoPentester: An LLM Agent-based Framework for Automated Pentesting","created":"2025-10-07","cited_by_count":6,"area":"agents"},{"id":"2604.09813","title":"Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning","created":"2026-04-10","cited_by_count":6,"area":"agents"},{"id":"2607.01236","title":"Safeguarding LLM Agents from Misalignment through Provenance Analysis","created":"2026-05-01","cited_by_count":6,"area":"agents"},{"id":"2404.06750","title":"Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents","created":"2024-04-10","cited_by_count":5,"area":"agents"},{"id":"2411.11761","title":"Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework","created":"2024-11-18","cited_by_count":5,"area":"agents"},{"id":"2503.08199","title":"A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models","created":"2025-03-11","cited_by_count":5,"area":"agents"},{"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":"2508.08053","title":"AdaptFlow: Adaptive Workflow Optimization via Meta-Learning","created":"2025-08-11","cited_by_count":5,"area":"agents"}],"next_cursor":"100"}