{"total":219,"rows":[{"id":"2410.07095","title":"MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering","created":"2024-10-09","cited_by_count":469,"area":"agents"},{"id":"2410.05080","title":"ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery","created":"2024-10-07","cited_by_count":235,"area":"agents"},{"id":"2505.10468","title":"AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges","created":"2025-05-15","cited_by_count":169,"area":"agents"},{"id":"2502.08235","title":"The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks","created":"2025-02-12","cited_by_count":152,"area":"lr"},{"id":"2410.02089","title":"RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning","created":"2024-10-02","cited_by_count":151,"area":"lr"},{"id":"2512.08296","title":"Towards a Science of Scaling Agent Systems","created":"2025-12-09","cited_by_count":138,"area":"lr"},{"id":"2410.06703","title":"ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","created":"2024-10-09","cited_by_count":133,"area":"agents"},{"id":"2409.11363","title":"CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark","created":"2024-09-17","cited_by_count":123,"area":"agents"},{"id":"2504.09037","title":"A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems","created":"2025-04-12","cited_by_count":111,"area":"lr"},{"id":"2507.02825","title":"Establishing Best Practices for Building Rigorous Agentic Benchmarks","created":"2025-07-03","cited_by_count":102,"area":"agents"},{"id":"2407.13032","title":"Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems","created":"2024-07-17","cited_by_count":81,"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":"2502.06559","title":"Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation","created":"2025-02-10","cited_by_count":60,"area":null},{"id":"2411.17501","title":"The Limits of Inference Scaling Through Resampling","created":"2024-11-26","cited_by_count":53,"area":null},{"id":"2503.12188","title":"Multi-Agent Systems Execute Arbitrary Malicious Code","created":"2025-03-15","cited_by_count":53,"area":"agents"},{"id":"2506.12469","title":"Levels of Autonomy for AI Agents","created":"2025-06-14","cited_by_count":48,"area":null},{"id":"2507.21206","title":"Agentic Web: Weaving the Next Web with AI Agents","created":"2025-07-28","cited_by_count":45,"area":"agents"},{"id":"2501.10114","title":"Infrastructure for AI Agents","created":"2025-01-17","cited_by_count":41,"area":null},{"id":"2606.29537","title":"OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks","created":"2026-06-28","cited_by_count":40,"area":"agents"},{"id":"2412.10999","title":"Cocoa: Co-Planning and Co-Execution with AI Agents","created":"2024-12-14","cited_by_count":39,"area":null},{"id":"2604.14228","title":"Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems","created":"2026-04-14","cited_by_count":38,"area":"agents"},{"id":"2504.13359","title":"Cost-of-Pass: An Economic Framework for Evaluating Language Models","created":"2025-04-17","cited_by_count":35,"area":null},{"id":"2601.14242","title":"APEX-Agents","created":"2026-01-20","cited_by_count":32,"area":"agents"},{"id":"2601.14652","title":"MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks","created":"2026-01-21","cited_by_count":32,"area":null},{"id":"2503.07832","title":"RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code","created":"2025-03-10","cited_by_count":30,"area":"lr"},{"id":"2410.08105","title":"What Makes Large Language Models Reason in (Multi-Turn) Code Generation?","created":"2024-10-10","cited_by_count":29,"area":"lr"},{"id":"2504.09702","title":"MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?","created":"2025-04-13","cited_by_count":28,"area":"agents"},{"id":"2510.23883","title":"Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges","created":"2025-10-27","cited_by_count":28,"area":"agents"},{"id":"2504.05047","title":"Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning","created":"2025-04-07","cited_by_count":27,"area":"lr"},{"id":"2411.19477","title":"Provable Scaling Laws for the Test-Time Compute of Large Language Models","created":"2024-11-29","cited_by_count":26,"area":"lr"},{"id":"2506.01055","title":"Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution","created":"2025-06-01","cited_by_count":26,"area":"agents"},{"id":"2505.16120","title":"LLM-Powered AI Agent Systems and Their Applications in Industry","created":"2025-05-22","cited_by_count":22,"area":"agents"},{"id":"2412.05449","title":"Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications","created":"2024-12-06","cited_by_count":19,"area":"agents"},{"id":"2602.14878","title":"Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions","created":"2026-02-16","cited_by_count":17,"area":"agents"},{"id":"2503.17821","title":"OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination","created":"2025-03-22","cited_by_count":16,"area":null},{"id":"2504.11844","title":"Evaluating the Goal-Directedness of Large Language Models","created":"2025-04-16","cited_by_count":16,"area":null},{"id":"2510.03204","title":"FocusAgent: Simple Yet Effective Ways of Trimming the Large Context of Web Agents","created":"2025-10-03","cited_by_count":16,"area":"agents"},{"id":"2502.01635","title":"The AI Agent Index","created":"2025-02-03","cited_by_count":15,"area":"agents"},{"id":"2512.01939","title":"An Empirical Study of Agent Developer Practices in AI Agent Frameworks","created":"2025-12-01","cited_by_count":14,"area":"agents"},{"id":"2601.04583","title":"Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries","created":"2026-01-08","cited_by_count":13,"area":"agents"},{"id":"2601.08778","title":"Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards","created":"2026-01-13","cited_by_count":13,"area":null},{"id":"2602.22953","title":"General Agent Evaluation","created":"2026-02-26","cited_by_count":13,"area":"agents"},{"id":"2504.09754","title":"Integrating Large Language Models for Automated Structural Analysis","created":"2025-04-13","cited_by_count":12,"area":null},{"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":"2609.27678","title":"Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding","created":"2026-09-23","cited_by_count":11,"area":null},{"id":"2502.15212","title":"Measuring AI agent autonomy: Towards a scalable approach with code inspection","created":"2025-02-21","cited_by_count":10,"area":null},{"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":"2510.16499","title":"Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection","created":"2025-10-18","cited_by_count":10,"area":"agents"},{"id":"2603.29139","title":"SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents","created":"2026-03-31","cited_by_count":10,"area":"agents"},{"id":"2605.13625","title":"How to Interpret Agent Behavior","created":"2026-05-13","cited_by_count":10,"area":null},{"id":"2605.20530","title":"AgentAtlas: Beyond Outcome Leaderboards for LLM Agents","created":"2026-05-19","cited_by_count":10,"area":"agents"},{"id":"2408.15299","title":"TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering","created":"2024-08-27","cited_by_count":9,"area":"agents"},{"id":"2412.04093","title":"Practical Considerations for Agentic LLM Systems","created":"2024-12-05","cited_by_count":9,"area":"agents"},{"id":"2606.13003","title":"The Illusion of Multi-Agent Advantage","created":"2026-06-11","cited_by_count":9,"area":null},{"id":"2505.04345","title":"Build Agent Advocates, Not Platform Agents","created":"2025-05-07","cited_by_count":8,"area":"agents"},{"id":"2510.08847","title":"What Is Your Agent's GPA? A Framework for Evaluating Agent Goal-Plan-Action Alignment","created":"2025-10-09","cited_by_count":8,"area":"agents"},{"id":"2604.15367","title":"SoK: Security of Autonomous LLM Agents in Agentic Commerce","created":"2026-04-15","cited_by_count":8,"area":"agents"},{"id":"2604.16403","title":"Computational Hermeneutics: Evaluating generative AI as a cultural technology","created":"2026-03-31","cited_by_count":8,"area":null},{"id":"2605.26112","title":"From Model Scaling to System Scaling: Scaling the Harness in Agentic AI","created":"2026-05-25","cited_by_count":8,"area":"agents"},{"id":"2606.12344","title":"Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks","created":"2026-06-10","cited_by_count":8,"area":null},{"id":"2506.03332","title":"Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows","created":"2025-06-03","cited_by_count":7,"area":"agents"},{"id":"2505.15741","title":"Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems","created":"2025-05-21","cited_by_count":6,"area":null},{"id":"2510.05307","title":"When Should Users Check? Modeling Confirmation Frequency in Multi-Step Agentic AI Tasks","created":"2025-10-06","cited_by_count":6,"area":"agents"},{"id":"2510.11004","title":"Automating Structural Engineering Workflows with Large Language Model Agents","created":"2025-10-13","cited_by_count":6,"area":"agents"},{"id":"2605.00528","title":"SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters","created":"2026-05-01","cited_by_count":6,"area":"agents"},{"id":"2605.24002","title":"Harnessing AtomisticSkills for Agentic Atomistic Research","created":"2026-05-18","cited_by_count":6,"area":"agents"},{"id":"2607.18235","title":"Automated Discovery Has No Universally Superior Harness","created":"2026-07-20","cited_by_count":6,"area":null},{"id":"2502.10420","title":"Position: Stop Acting Like Language Model Agents Are Normal Agents","created":"2025-02-04","cited_by_count":5,"area":"agents"},{"id":"2508.00875","title":"Preliminary suggestions for rigorous GPAI model evaluations","created":"2025-07-22","cited_by_count":5,"area":null},{"id":"2510.04173","title":"Open Agent Specification (Agent Spec): A Unified Representation for AI Agents","created":"2025-10-05","cited_by_count":5,"area":"agents"},{"id":"2605.24279","title":"ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions","created":"2026-05-22","cited_by_count":5,"area":"agents"},{"id":"2605.28840","title":"How Consistent Are LLM Agents? Measuring Behavioral Reproducibility in Multi-Step Tool-Calling Pipelines","created":"2026-04-23","cited_by_count":5,"area":"agents"},{"id":"2407.12220","title":"Questionable practices in machine learning","created":"2024-07-17","cited_by_count":4,"area":null},{"id":"2507.15676","title":"Agentic AI for autonomous anomaly management in complex systems","created":"2025-07-21","cited_by_count":4,"area":"agents"},{"id":"2507.18374","title":"Towards Effective Human-in-the-Loop Assistive AI Agents","created":"2025-07-24","cited_by_count":4,"area":null},{"id":"2509.16749","title":"Evaluating LLM Generated Detection Rules in Cybersecurity","created":"2025-09-20","cited_by_count":4,"area":null},{"id":"2510.08005","title":"Past, Present, and Future of Bug Tracking in the Generative AI Era","created":"2025-10-09","cited_by_count":4,"area":null},{"id":"2512.02228","title":"STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls","created":"2025-12-01","cited_by_count":4,"area":"agents"},{"id":"2604.10938","title":"AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web","created":"2026-04-13","cited_by_count":4,"area":"agents"},{"id":"2605.29601","title":"Training Deliberative Monitors for Black-Box Scheming Detection","created":"2026-05-28","cited_by_count":4,"area":null},{"id":"2606.26158","title":"Life After Benchmark Saturation: A Case Study of CORE-Bench","created":"2026-06-23","cited_by_count":4,"area":null},{"id":"2607.06273","title":"AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation","created":"2026-07-07","cited_by_count":4,"area":"agents"},{"id":"2504.03048","title":"LLM Library Learning Fails: A LEGO-Prover Case Study","created":"2025-04-03","cited_by_count":3,"area":null},{"id":"2512.00742","title":"On the Regulatory Potential of User Interfaces for AI Agent Governance","created":"2025-11-30","cited_by_count":3,"area":null},{"id":"2601.20617","title":"Agent Benchmarks Fail Public Sector Requirements","created":"2026-01-28","cited_by_count":3,"area":"agents"},{"id":"2602.02975","title":"Where Norms and References Collide: Evaluating LLMs on Normative Reasoning","created":"2026-02-03","cited_by_count":3,"area":"lr"},{"id":"2602.11619","title":"When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM Agents","created":"2026-02-12","cited_by_count":3,"area":"agents"},{"id":"2602.16844","title":"Overseeing Agents Without Constant Oversight: Challenges and Opportunities","created":"2026-02-18","cited_by_count":3,"area":"agents"},{"id":"2603.20256","title":"SciNav: A General Agent Framework for Scientific Coding Tasks","created":"2026-03-11","cited_by_count":3,"area":"agents"},{"id":"2603.25764","title":"Confident and Wrong: Silent Semantic Failures in Coding Agents","created":"2026-03-26","cited_by_count":3,"area":"agents"},{"id":"2605.06457","title":"Beyond Task Success: Measuring Workflow Fidelity in LLM-Based Agentic Payment Systems","created":"2026-05-07","cited_by_count":3,"area":"agents"},{"id":"2608.13867","title":"Engineering Reliable Coding Agents: Evaluating and Operating the System Around the Model","created":"2026-08-14","cited_by_count":3,"area":"agents"},{"id":"2608.16801","title":"When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding","created":"2026-08-17","cited_by_count":3,"area":"agents"},{"id":"2609.02783","title":"EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction","created":"2026-09-02","cited_by_count":3,"area":"agents"},{"id":"2609.29095","title":"Where Does Exactly-Once Live? Model, Harness, and Tool-Contract Effects on Duplicate Side Effects in LLM Agents","created":"2026-09-24","cited_by_count":3,"area":"agents"},{"id":"2409.15523","title":"SEAL: Suite for Evaluating API-use of LLMs","created":"2024-09-23","cited_by_count":2,"area":null},{"id":"2505.14215","title":"Safety Degradation in AI Agents","created":"2025-05-20","cited_by_count":2,"area":"agents"},{"id":"2509.04518","title":"Advancing SLM Tool-Use Capability using Reinforcement Learning","created":"2025-09-03","cited_by_count":2,"area":"lr"},{"id":"2509.05651","title":"Orchestrator: Active Inference for Multi-Agent Systems in Long-Horizon Tasks","created":"2025-09-06","cited_by_count":2,"area":"agents"},{"id":"2509.25282","title":"Toward Causal-Visual Programming: Enhancing Agentic Reasoning in Low-Code Environments","created":"2025-09-29","cited_by_count":2,"area":"lr"}],"next_cursor":"100"}