{"total":87,"rows":[{"id":"2412.05579","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","created":"2024-12-07","cited_by_count":465,"area":null},{"id":"2510.08558","title":"Agent Learning via Early Experience","created":"2025-10-09","cited_by_count":85,"area":null},{"id":"2505.15146","title":"lmgame-Bench: How Good are LLMs at Playing Games?","created":"2025-05-21","cited_by_count":55,"area":null},{"id":"2503.01861","title":"Towards Enterprise-Ready Computer Using Generalist Agent","created":"2025-02-24","cited_by_count":31,"area":null},{"id":"2604.17308","title":"SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents","created":"2026-04-19","cited_by_count":25,"area":null},{"id":"2509.23124","title":"Non-Collaborative User Simulators for Tool Agents","created":"2025-09-27","cited_by_count":18,"area":null},{"id":"2603.08561","title":"RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback","created":"2026-03-09","cited_by_count":17,"area":null},{"id":"2604.00842","title":"Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants","created":"2026-04-01","cited_by_count":15,"area":null},{"id":"2603.01357","title":"ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context","created":"2026-03-02","cited_by_count":14,"area":null},{"id":"2412.17589","title":"PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World","created":"2024-12-23","cited_by_count":12,"area":null},{"id":"2604.18934","title":"AutomationBench","created":"2026-04-21","cited_by_count":12,"area":null},{"id":"2504.14128","title":"TALES: Text Adventure Learning Environment Suite","created":"2025-04-19","cited_by_count":11,"area":null},{"id":"2504.00285","title":"When Do Large Language Models Exhibit Unsolicited Deception?","created":"2025-03-31","cited_by_count":10,"area":null},{"id":"2510.08521","title":"FlowSearch: Advancing deep research with dynamic structured knowledge flow","created":"2025-10-09","cited_by_count":10,"area":null},{"id":"2603.01203","title":"How Well Does Agent Development Reflect Real-World Work?","created":"2026-03-01","cited_by_count":10,"area":null},{"id":"2605.16679","title":"CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?","created":"2026-05-15","cited_by_count":8,"area":null},{"id":"2603.12572","title":"LMEB: Long-horizon Memory Embedding Benchmark","created":"2026-03-13","cited_by_count":7,"area":null},{"id":"2510.07248","title":"Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models","created":"2025-10-08","cited_by_count":6,"area":null},{"id":"2605.10448","title":"Can Agent Benchmarks Support Their Scores? Evidence-Supported Bounds for Interactive-Agent Evaluation","created":"2026-05-11","cited_by_count":5,"area":null},{"id":"2605.24117","title":"SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills","created":"2026-05-22","cited_by_count":5,"area":null},{"id":"2609.04094","title":"DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training","created":"2026-09-03","cited_by_count":5,"area":null},{"id":"2506.12202","title":"Quasar: A Programming Language Specialized for LLM Code Actions","created":"2025-06-13","cited_by_count":4,"area":null},{"id":"2605.07937","title":"Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?","created":"2026-05-08","cited_by_count":4,"area":null},{"id":"2605.08717","title":"Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents","created":"2026-05-09","cited_by_count":4,"area":null},{"id":"2605.09730","title":"RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement","created":"2026-05-10","cited_by_count":4,"area":null},{"id":"2608.11323","title":"Deployment Decision Reliability: A Generalizability-Theory Framework for Sizing Long-Horizon Agent Evaluations","created":"2026-08-11","cited_by_count":4,"area":null},{"id":"2605.13880","title":"PREPING: Zero-Task Agent Memory Construction via Self-Practice","created":"2026-05-11","cited_by_count":3,"area":null},{"id":"2605.17829","title":"Interactive Evaluation Requires a Design Science","created":"2026-05-18","cited_by_count":3,"area":null},{"id":"2606.05342","title":"SentinelBench: A Benchmark for Long-Running Monitoring Agents","created":"2026-06-03","cited_by_count":3,"area":null},{"id":"2606.30383","title":"Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents","created":"2026-06-29","cited_by_count":3,"area":null},{"id":"2608.11772","title":"Diagnosis Before Recovery: Turning Agent Failures into Selective Self-Correction","created":"2026-08-12","cited_by_count":3,"area":null},{"id":"2608.23397","title":"MediSkill-Evo: Process-Constrained Self-Evolution for Evidence-Grounded Clinical Interaction","created":"2026-08-24","cited_by_count":3,"area":null},{"id":"2409.15523","title":"SEAL: Suite for Evaluating API-use of LLMs","created":"2024-09-23","cited_by_count":2,"area":null},{"id":"2502.20315","title":"LangProBe: a Language Programs Benchmark","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2603.15798","title":"CUBE: A Standard for Unifying Agent Benchmarks","created":"2026-03-16","cited_by_count":2,"area":null},{"id":"2603.29678","title":"View-oriented Conversation Compiler for Agent Trace Analysis","created":"2026-03-31","cited_by_count":2,"area":null},{"id":"2605.22505","title":"Towards Direct Evaluation of Harness Optimizers via Priority Ranking","created":"2026-05-21","cited_by_count":2,"area":null},{"id":"2606.24151","title":"Metis: Bridging Text and Code Memory for Self-Evolving Agents","created":"2026-06-23","cited_by_count":2,"area":null},{"id":"2609.37315","title":"Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments","created":"2026-09-29","cited_by_count":2,"area":null},{"id":"2507.15501","title":"ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution","created":"2025-07-21","cited_by_count":1,"area":null},{"id":"2508.10839","title":"Reinforced Language Models for Sequential Decision Making","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2604.08588","title":"Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models","created":"2026-03-31","cited_by_count":1,"area":null},{"id":"2605.10966","title":"MMTB: Evaluating Terminal Agents on Multimedia-File Tasks","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2605.21482","title":"DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2607.19865","title":"DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations","created":"2026-07-22","cited_by_count":1,"area":null},{"id":"2608.03499","title":"WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2608.20634","title":"AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale","created":"2026-08-21","cited_by_count":1,"area":null},{"id":"2608.29387","title":"EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants","created":"2026-08-29","cited_by_count":1,"area":null},{"id":"2608.29397","title":"AlgoWorlds: Benchmarking Tool Use for Global Optimization in Algorithmic Worlds","created":"2026-08-29","cited_by_count":1,"area":null},{"id":"2609.11381","title":"Agent-Integrated Software: Interaction Contracts and Continuous Assurance","created":"2026-09-10","cited_by_count":1,"area":null},{"id":"2609.32192","title":"CoMemBench: Benchmarking Collaborative Memory Boundaries across Multi-Agent Workflow Topologies","created":"2026-09-26","cited_by_count":1,"area":null},{"id":"2609.37633","title":"RLTL;DR: Self-improvement by Internalizing Self-generated Feedback","created":"2026-09-29","cited_by_count":1,"area":null},{"id":"2604.03189","title":"Reflective Context Learning: Studying the Optimization Primitives of Context Space","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2605.11030","title":"An Executable Benchmarking Suite for Tool-Using Agents","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2606.18902","title":"SAGE: Stochastic Prompt Optimization via Agent-Guided Exploration","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2606.20487","title":"OctoNest: Adaptive Cross-Device Execution through Stateful Control","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.05484","title":"SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.25765","title":"WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2607.27283","title":"Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.10692","title":"SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.22695","title":"Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.07784","title":"xDailyBench: Benchmarking LLMs on Professional Consultation for Real-Life Problems","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.13800","title":"Do Not Restart: Residual Completion for Stateful Agent Handoffs","created":"2026-09-12","cited_by_count":0,"area":null},{"id":"2609.24174","title":"CREDO: Variance-Guided Rubric Evolution for Replay-Corrected Credit Assignment","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.25678","title":"Toolcompass: Guiding Tool Trialing, Not Suppressing It","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.32391","title":"SCLATE: a Substrate for Continual-Learning Agent Training and Evaluation","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.33665","title":"CompoWorld: Compositional Environment Scaling for General Agents","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.34988","title":"The Right Lesson at the Right Step: Deriving Control Updates for Self-Evolving Agents","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36987","title":"CypherTurn: A Multi-Turn Benchmark for Conversational Text-to-Cypher Evaluation and the Autonomy Divergence","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38469","title":"The Backdrop Exposes What the World Around an Agent Costs It","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.39143","title":"RefCon: Iterative Refinement and Contrastive Memory Extraction for Context-Evolving Agent","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.01110","title":"How Much Can Language Models Gain from Test-Time Computation?","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02001","title":"Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02122","title":"Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02150","title":"From Knowledge Access to Source Learning: Developing Source-Specific Competence","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02460","title":"CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02769","title":"When History Fails to Become Experience: Action Calibration in Language Agents","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.04379","title":"AgentPersonaBench: Benchmarking Persona-Driven User Simulation","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.04906","title":"Scaling Verifiable Environments for Long-horizon Work Agents","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.04975","title":"Runtime Authorization of Self-Generated Subgoals in Long-Horizon Tool-Using AI Agents","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.09142","title":"Finding Blind Spots in AppWorld and WorkArena Task Verifiers","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.11268","title":"TaReD: Tool-Aware Recursive Decomposition for Long-Horizon Tasks","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.14209","title":"Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs","created":"2026-10-09","cited_by_count":0,"area":null},{"id":"2610.14918","title":"SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.16397","title":"Recursive Environment Scaling for General Long-Horizon Agents","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18067","title":"WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.18330","title":"AssetForge: Asset-Augmented Task Synthesis for Business Automation Agents","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}