Home/Library/How We Broke Top AI Agent Benchmarks: And What Comes Next | Hao WangEvaluation, Testing & ObservabilityHow We Broke Top AI Agent Benchmarks: And What Comes Next | Hao WangDetailsPublisherGithubDomainEngineering & ArchitectureCategoryEvaluation, Testing & ObservabilityType GroupBenchmarks & DatasetsTypeBenchmarkBest ForDeveloperSkill LevelIntermediateAccessFreeTopicAgent evaluationRelated in Evaluation, Testing & ObservabilityWebArena: Realistic Web EnvironmentEmergentmindWebArena: A Realistic Web Environment for Building Autonomous Agents - ADSHarvardPublished in Transactions on Machine Learning Research (05/2025)OpenreviewGAIA:A Benchmark for General AI Assistants - ar5iv - arXivarXivSynthesizing Agent Trajectories via Test-Time Exploration ...arXivAgent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM AgentsarXivOpen ResourceSave to pathBack to library
