{"total":21,"rows":[{"id":"2410.10934","title":"Agent-as-a-Judge: Evaluate Agents with Agents","created":"2024-10-14","cited_by_count":238,"area":"agents"},{"id":"2507.02825","title":"Establishing Best Practices for Building Rigorous Agentic Benchmarks","created":"2025-07-03","cited_by_count":102,"area":"agents"},{"id":"2601.08536","title":"DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Reports","created":"2026-01-13","cited_by_count":34,"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":"2604.16706","title":"Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language Agents","created":"2026-04-17","cited_by_count":10,"area":"agents"},{"id":"2506.05305","title":"ProRefine: Inference-Time Prompt Refinement with Textual Feedback","created":"2025-06-05","cited_by_count":8,"area":"agents"},{"id":"2504.02867","title":"Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications","created":"2025-04-01","cited_by_count":7,"area":"agents"},{"id":"2605.30434","title":"LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis","created":"2026-05-28","cited_by_count":4,"area":"agents"},{"id":"2607.28367","title":"How Benchmarks Mis-Score Computer-Use Agents","created":"2026-07-30","cited_by_count":4,"area":"agents"},{"id":"2609.20152","title":"MTVA-Bench: Evaluating the Language Model Inside Cascaded Voice Agents","created":"2026-09-17","cited_by_count":3,"area":"agents"},{"id":"2409.18538","title":"A Survey on Complex Tasks for Goal-Directed Interactive Agents","created":"2024-09-27","cited_by_count":2,"area":"agents"},{"id":"2603.05872","title":"Evolving Deception: When Agents Evolve, Deception Wins","created":"2026-03-06","cited_by_count":2,"area":"agents"},{"id":"2608.30047","title":"Can LLM Agents Discover? Evaluating Creativity on ML Engineering Tasks","created":"2026-08-30","cited_by_count":1,"area":"agents"},{"id":"2603.09157","title":"Real-Time Trust Verification for Safe Agentic Actions using TrustBench","created":"2026-03-10","cited_by_count":0,"area":"agents"},{"id":"2607.28641","title":"The Formalism Trap: Are LLM-as-a-Judge Evaluators Blinded by Consensus Mimicry under Social Load?","created":"2026-05-20","cited_by_count":0,"area":"agents"},{"id":"2608.15877","title":"Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation","created":"2026-08-16","cited_by_count":0,"area":"agents"},{"id":"2609.08016","title":"What Does Multi-Agent LLM Debate Actually Change? A Layered Analysis of Disagreement and Answer Quality","created":"2026-09-07","cited_by_count":0,"area":"agents"},{"id":"2609.09072","title":"ToolLoop: Closed-Loop Tool-Use Data Synthesis via Decomposed Generation and Dynamic Self-Feedback","created":"2026-09-08","cited_by_count":0,"area":"agents"},{"id":"2609.32092","title":"On Evaluating and Improving Conversational Agents in Production","created":"2026-09-25","cited_by_count":0,"area":"agents"},{"id":"2609.39958","title":"Better Deck or Different Judge? Evaluating Agentic Harness Gains in Corporate and Investment Banking","created":"2026-09-30","cited_by_count":0,"area":"agents"},{"id":"2610.17206","title":"AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment","created":"2026-10-12","cited_by_count":0,"area":"agents"}],"next_cursor":null}