{"total":51,"rows":[{"id":"2401.05459","title":"Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security","created":"2024-01-10","cited_by_count":260,"area":"agents"},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2407.03502","title":"AgentInstruct: Toward Generative Teaching with Agentic Flows","created":"2024-07-03","cited_by_count":89,"area":"agents"},{"id":"2408.16090","title":"EPO: Hierarchical LLM Agents with Environment Preference Optimization","created":"2024-08-28","cited_by_count":28,"area":"agents"},{"id":"2402.04210","title":"Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors","created":"2024-02-06","cited_by_count":25,"area":"agents"},{"id":"2403.14589","title":"ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy","created":"2024-03-21","cited_by_count":23,"area":"agents"},{"id":"2505.02847","title":"Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models","created":"2025-05-01","cited_by_count":21,"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":"2509.10704","title":"Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration","created":"2025-09-12","cited_by_count":19,"area":"agents"},{"id":"2504.20997","title":"Toward Efficient Exploration by Large Language Model Agents","created":"2025-04-29","cited_by_count":17,"area":"agents"},{"id":"2508.19598","title":"Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning","created":"2025-08-27","cited_by_count":17,"area":"agents"},{"id":"2601.05111","title":"Agent-as-a-Judge","created":"2026-01-08","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":"2605.03042","title":"ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration","created":"2026-05-04","cited_by_count":16,"area":"agents"},{"id":"2401.04620","title":"Agent Alignment in Evolving Social Norms","created":"2024-01-09","cited_by_count":15,"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":"2502.03723","title":"Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning","created":"2025-02-06","cited_by_count":10,"area":"agents"},{"id":"2402.03628","title":"Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies","created":"2024-02-06","cited_by_count":9,"area":"agents"},{"id":"2502.21038","title":"Reward Learning from Multiple Feedback Types","created":"2025-02-28","cited_by_count":9,"area":"agents"},{"id":"2505.14289","title":"EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks","created":"2025-05-20","cited_by_count":9,"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":"2510.14008","title":"Stop Reducing Responsibility in LLM-Powered Multi-Agent Systems to Local Alignment","created":"2025-10-15","cited_by_count":7,"area":"agents"},{"id":"2601.14230","title":"MASCOT: Multi-Agent Socio-Collaborative Companion Systems","created":"2026-01-20","cited_by_count":7,"area":"agents"},{"id":"2606.29920","title":"Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?","created":"2026-06-29","cited_by_count":7,"area":"agents"},{"id":"2503.20105","title":"Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations","created":"2025-03-25","cited_by_count":6,"area":"agents"},{"id":"2510.26167","title":"ToolRM: Towards Agentic Tool-Use Reward Modeling","created":"2025-10-30","cited_by_count":5,"area":"agents"},{"id":"2602.18920","title":"DeepInnovator: Triggering the Innovative Capabilities of LLMs","created":"2026-02-21","cited_by_count":5,"area":"agents"},{"id":"2502.13135","title":"Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions","created":"2025-02-18","cited_by_count":4,"area":"agents"},{"id":"2509.13444","title":"DuetUI: A Bidirectional Context Loop for Human-Agent Co-Generation of Task-Oriented Interfaces","created":"2025-09-16","cited_by_count":4,"area":"agents"},{"id":"2602.01405","title":"Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents","created":"2026-02-01","cited_by_count":4,"area":"agents"},{"id":"2603.17417","title":"Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences)","created":"2026-03-18","cited_by_count":4,"area":"agents"},{"id":"2604.17774","title":"Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents","created":"2026-04-20","cited_by_count":4,"area":"agents"},{"id":"2607.10601","title":"Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories","created":"2026-07-12","cited_by_count":4,"area":"agents"},{"id":"2604.27955","title":"GUI Agents with Reinforcement Learning: Toward Digital Inhabitants","created":"2026-04-30","cited_by_count":3,"area":"agents"},{"id":"2606.03980","title":"Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill","created":"2026-06-02","cited_by_count":3,"area":"agents"},{"id":"2608.21156","title":"Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence","created":"2026-08-21","cited_by_count":3,"area":"agents"},{"id":"2602.06486","title":"JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks","created":"2026-02-06","cited_by_count":2,"area":"agents"},{"id":"2603.19931","title":"SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia","created":"2026-03-20","cited_by_count":2,"area":"agents"},{"id":"2606.12916","title":"MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback","created":"2026-06-11","cited_by_count":2,"area":"agents"},{"id":"2606.21710","title":"PrivacyAlign: Contextual Privacy Alignment for LLM Agents","created":"2026-06-19","cited_by_count":2,"area":"agents"},{"id":"2512.11147","title":"MiniScope: A Least Privilege Framework for Authorizing Tool Calling Agents","created":"2025-12-11","cited_by_count":1,"area":"agents"},{"id":"2602.14926","title":"MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design","created":"2026-02-16","cited_by_count":1,"area":"agents"},{"id":"2604.02500","title":"I must delete the evidence: AI Agents Explicitly Cover up Fraud and Violent Crime","created":"2026-04-02","cited_by_count":1,"area":"agents"},{"id":"2605.15207","title":"TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination","created":"2026-05-01","cited_by_count":1,"area":"agents"},{"id":"2608.13564","title":"Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation","created":"2026-06-25","cited_by_count":1,"area":"agents"},{"id":"2608.25937","title":"Candidate supply and answer selection shape the value of LLM judging in multi-agent systems","created":"2026-08-26","cited_by_count":1,"area":"agents"},{"id":"2609.02889","title":"Where Does Harness-Optimization Value Live? Localized Gains and the Budget-Splitting Trap in Self-Evolving LLM Agents","created":"2026-06-25","cited_by_count":1,"area":"agents"},{"id":"2603.14417","title":"Questionnaire Responses Do not Capture the Safety of AI Agents","created":"2026-03-15","cited_by_count":0,"area":"agents"},{"id":"2605.06028","title":"Multi-agent decision making: A Blackwell's informativeness approach","created":"2026-05-07","cited_by_count":0,"area":"agents"},{"id":"2608.11274","title":"Agent Safety Should Be a Runtime Contract","created":"2026-08-11","cited_by_count":0,"area":"agents"}],"next_cursor":null}