GAIA: a benchmark for General AI Assistants
Not on the map. Why?
Cited by 773 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a milestone in AI research. GAIA proposes real-world questions that require a set of fundamental abilities such as reasoning, multi-modality handling, web browsing, and generally tool-use proficiency. GAIA questions are conceptually simple for humans yet challenging for most advanced AIs: we show that human respondents obtain 92% vs. 15% for GPT-4 equipped with plugins. This notable performance disparity contrasts with the recent trend of LLMs outperforming humans on tasks requiring professional skills in e.g. law or chemistry. GAIA's philosophy departs from the current trend in AI benchmarks suggesting to target tasks that are ever more difficult for humans. We posit that the advent of Artificial General Intelligence (AGI) hinges on a system's capability to exhibit similar robustness as the average human does on such questions. Using GAIA's methodology, we devise 466 questions and their answer. We release our questions while retaining answers to 300 of them to power a leader-board available at https://huggingface.co/gaia-benchmark.
Key facts. Cited by 1,128 papers in the map (data through 14 Oct 2026). Builds on 23 of its 40 references that are in the map. First posted on arXiv 21 Nov 2023.
Builds on
23 of 40 references.
References · 23
- 2021Training Verifiers to Solve Math Word Problemscited by 10,109
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
- 2020Measuring Massive Multitask Language Understandingcited by 7,963
- 2018GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understandingcited by 4,899
- 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,386
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
- 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,745
- 2019SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systemscited by 1,729
- 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,332
- 2023AgentBench: Evaluating LLMs as Agentscited by 1,267
- 2023Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Modelscited by 668
11 more
- 2023ViperGPT: Visual Inference via Python Execution for Reasoningcited by 603
- 2022Socratic Models: Composing Zero-Shot Multimodal Reasoning with Languagecited by 513
- 2023TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answeringcited by 428
- 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agentscited by 333
- 2023ToolQA: A Dataset for LLM Question Answering with External Toolscited by 274
- 2023Auto-GPT for Online Decision Making: Benchmarks and Additional Opinionscited by 255
- 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagecited by 198
- 2023On the Tool Manipulation Capability of Open-source Large Language Modelscited by 122
- 2023AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learncited by 97
- 2023BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agentscited by 84
- 2023Gentopia: A Collaborative Platform for Tool-Augmented LLMscited by 26
Built on by
Citing papers per year: 2023: 3; 2024: 94; 2025: 298; 2026: 733.
1,128 papers.
Sort:
By area:
- 2023MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIcited by 2,080
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,195
- 2024OpenHands: An Open Platform for AI Software Developers as Generalist Agentscited by 1,002
- 2025BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agentscited by 647
- 2025Why Do Multi-Agent LLM Systems Fail?cited by 604
- 2024MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineeringcited by 469
- 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 468
- 2024WebVoyager: Building an End-to-End Web Agent with Large Multimodal Modelscited by 438
- 2024AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agentscited by 437
- 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agentscited by 339
- 2025WebThinker: Empowering Large Reasoning Models with Deep Research Capabilitycited by 335
- 2025Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactionscited by 254
38 more
- 2025DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agentscited by 248
- 2024Magentic-One: A Generalist Multi-Agent System for Solving Complex Taskscited by 232
- 2025WebSailor: Navigating Super-human Reasoning for Web Agentcited by 229
- 2024AI Agents That Mattercited by 219
- 2024WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wildcited by 218
- 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvementcited by 205
- 2025Survey on Evaluation of LLM-based Agentscited by 204
- 2024Trial and Error: Exploration-Based Trajectory Optimization for LLM Agentscited by 197
- 2025WebDancer: Towards Autonomous Information Seeking Agencycited by 188
- 2025Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systemscited by 185
- 2025Multi-agent Architecture Search via Agentic Supernetcited by 179
- 2025MultiAgentBench: Evaluating the Collaboration and Competition of LLM agentscited by 178
- 2024RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertscited by 175
- 2025WebWalker: Benchmarking LLMs in Web Traversalcited by 175
- 2025Agentic Reinforced Policy Optimizationcited by 172
- 2024Teaching Large Language Models to Reason with Reinforcement Learningcited by 160
- 2024AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?cited by 158
- 2025Measuring AI Ability to Complete Long Software Taskscited by 156
- 2026Advancing Open-source World Modelscited by 154
- 2024RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learningcited by 151
- 2025Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RLcited by 150
- 2025From LLM Reasoning to Autonomous AI Agents: A Comprehensive Reviewcited by 149
- 2025BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinesecited by 145
- 2025ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarizationcited by 141
- 2025Where LLM Agents Fail and How They can Learn From Failurescited by 133
- 2024Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospectscited by 132
- 2025OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automationcited by 131
- 2024Observational Scaling Laws and the Predictability of Language Model Performancecited by 130
- 2026SoK: Agentic Skills -- Beyond Tool Use in LLM Agentscited by 130
- 2025Deep Research Agents: A Systematic Examination And Roadmapcited by 128
- 2025Memento: Fine-tuning LLM Agents without Fine-tuning LLMscited by 127
- 2025A Survey of Context Engineering for Large Language Modelscited by 126
- 2025MLGym: A New Framework and Benchmark for Advancing AI Research Agentscited by 124
- 2024WebCanvas: Benchmarking Web Agents in Online Environmentscited by 121
- 2025WebShaper: Agentically Data Synthesizing via Information-Seeking Formalizationcited by 121
- 2025WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agentcited by 119
- 2024Empowering Biomedical Discovery with AI Agentscited by 118
- 2024Cradle: Empowering Foundation Agents Towards General Computer Controlcited by 117
50 most cited of 1,128 All 1,128 (JSON)
- 2026The Wealth of Agents: Scaling Agentic AI Across Developers14 Oct 2026
- 2026Harness Policy Distillation: Aligning Agent Policies with Runtime Semantics14 Oct 2026
- 2026ChemArgus: Automated Scientific Diagnostics for Lab-Grade Multimodal Chemistry Reasoning: A Frontier Benchmark14 Oct 2026
- 2026When Protection Overrides Consequences: Understanding Protection Mode in Large Language Model Decision-Making14 Oct 2026
- 2026JointServe: Serving Multi-Model Agents on Memory-Constrained GPUs14 Oct 2026
- 2026Evolve Together, Fall into Place: How Social Scaffolding Shapes Self-Evolving Multi-Agent Systems14 Oct 2026
- 2026Measuring and Reducing Unusable Replies of LLM Agents14 Oct 2026
- 2026XferAgent: Cross-Agent Experience Transfer for Self-Improving LLM Agents14 Oct 2026
- 2026Why Do Agent Teams Fail Across Boundaries? A Failure Taxonomy for Agent-to-Agent Systems with Private States14 Oct 2026
- 2026MA-Bench: Measuring Operational Planning in Language Models13 Oct 2026
- 2026Hybrid Reasoning Agents13 Oct 2026
- 2026AgentStripes: An Evidence-Graded Maturity Model for AI Agents13 Oct 2026
38 more
- 2026LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity13 Oct 2026
- 2026Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents13 Oct 2026
- 2026Evidence-First Agentic Verification13 Oct 2026
- 2026LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents13 Oct 2026
- 2026Glasseek: A Transparent Recipe for Training and Trustworthy Evaluation of DeepSearch Agents12 Oct 2026
- 2026HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks12 Oct 2026
- 2026Words to World: Benchmarking LLMs in Interactive Physical Environments10 Oct 2026
- 2026MCPDisCo: Seesaw-Mitigated Tuning for MCP-Native Agents10 Oct 2026
- 2026DSABench: Benchmarking Source Discovery, Coordination, and Execution for Multi-Database Agents10 Oct 2026
- 2026Proactive Agentic Orchestration9 Oct 2026
- 2026CB-Orchestrator: Adaptive Workflow Optimization for LLM Agents via Contextual Bandits9 Oct 2026
- 2026Error-Propagation Modeling for Failure Attribution in LLM-Based Multi-Agent Systems8 Oct 2026
- 2026MiniCorp: The Last Mile to an AI Agent Corporation5 Oct 2026
- 2026Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild4 Oct 2026
- 2026MASBench: Benchmarking LLM-based Multi-Agent Collaboration under Partial Observability3 Oct 2026
- 2026AgentPersonaBench: Benchmarking Persona-Driven User Simulation3 Oct 2026
- 2026Agentic Cognitive Depth: Operational Criteria for Evaluating LLM Agents3 Oct 2026
- 2026Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction2 Oct 2026
- 2026InvestigationWorlds: An Agentic Environment for Legal Investigation2 Oct 2026
- 2026HyperBrowseComp: A Multilingual and Multimodal Stress Test for Web-Browsing Agents2 Oct 2026
- 2026SCAD: Structured Credit Assignment and Distillation for Long-Horizon Agents2 Oct 2026
- 2026ReFract: Benchmarking Perspective Awareness in Language Model Agents with Text World Models2 Oct 2026
- 2026Self-Supervised Scaling of Terminal Environments for Scientific Domains2 Oct 2026
- 2026OpenGameEval: Benchmarking Agentic Programming and Exploration in a Stateful Game Engine1 Oct 2026
- 2026DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents1 Oct 2026
- 2026Global Coherence: When Every Agent Is Right and the Team Is Still Wrong - A Local-to-Global Semantic Foundation for Multi-Agent Collaboration1 Oct 2026
- 2026Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks1 Oct 2026
- 2026OverAct: Measuring and Mitigating Proactive Over-Authorization in LLM Tool-Calling Agents1 Oct 2026
- 2026DAYJOB: A Benchmark for Long-Horizon Professional Work1 Oct 2026
- 2026Beyond Leaderboards: Tokenomics of Agentic Small Language Model Ensembles1 Oct 2026
- 2026Agent Evaluation Reliability: More Tasks Won't (Always) Fix An Agent Leaderboard30 Sep 2026
- 2026Legal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents30 Sep 2026
- 2026LIBERO-Agent: Evaluating General-Purpose Agents for Direct Embodied Manipulation30 Sep 2026
- 2026Beyond the Shadows of Plato's Cave: Evaluating False Memory in Autonomous Agents via Counterfactual Reasoning30 Sep 2026
- 2026DAGent: Evaluate-then-Grow Planning for Deep Research Agents30 Sep 2026
- 2026Staying on Task: Testing the Foundations of Long-Horizon Agent Reliability30 Sep 2026
- 2026AgBench: Agentic AI Benchmarks for Personal AI Devices29 Sep 2026
- 2026AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks29 Sep 2026
50 newest of 1,128 All 1,128 (JSON)
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,195
- 2024OpenHands: An Open Platform for AI Software Developers as Generalist Agentscited by 1,002
- 2025Why Do Multi-Agent LLM Systems Fail?cited by 604
- 2024MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineeringcited by 469
- 2024AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agentscited by 437
- 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agentscited by 339
- 2025Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactionscited by 254
- 2025DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agentscited by 248
- 2024Magentic-One: A Generalist Multi-Agent System for Solving Complex Taskscited by 232
- 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvementcited by 205
- 2025Survey on Evaluation of LLM-based Agentscited by 204
- 2024Trial and Error: Exploration-Based Trajectory Optimization for LLM Agentscited by 197
12 most cited of 680 All 680 (JSON)
- 2026The Wealth of Agents: Scaling Agentic AI Across Developers14 Oct 2026
- 2026JointServe: Serving Multi-Model Agents on Memory-Constrained GPUs14 Oct 2026
- 2026Evolve Together, Fall into Place: How Social Scaffolding Shapes Self-Evolving Multi-Agent Systems14 Oct 2026
- 2026Measuring and Reducing Unusable Replies of LLM Agents14 Oct 2026
- 2026XferAgent: Cross-Agent Experience Transfer for Self-Improving LLM Agents14 Oct 2026
- 2026LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity13 Oct 2026
- 2026Evidence-First Agentic Verification13 Oct 2026
- 2026MCPDisCo: Seesaw-Mitigated Tuning for MCP-Native Agents10 Oct 2026
- 2026Proactive Agentic Orchestration9 Oct 2026
- 2026CB-Orchestrator: Adaptive Workflow Optimization for LLM Agents via Contextual Bandits9 Oct 2026
- 2026Error-Propagation Modeling for Failure Attribution in LLM-Based Multi-Agent Systems8 Oct 2026
- 2026Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild4 Oct 2026
12 newest of 680 All 680 (JSON)
- 2025WebThinker: Empowering Large Reasoning Models with Deep Research Capabilitycited by 335
- 2025WebSailor: Navigating Super-human Reasoning for Web Agentcited by 229
- 2025MultiAgentBench: Evaluating the Collaboration and Competition of LLM agentscited by 178
- 2025Agentic Reinforced Policy Optimizationcited by 172
- 2024Teaching Large Language Models to Reason with Reinforcement Learningcited by 160
- 2024RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learningcited by 151
- 2025From LLM Reasoning to Autonomous AI Agents: A Comprehensive Reviewcited by 149
- 2025OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automationcited by 131
- 2025Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolutioncited by 116
- 2025Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Toolscited by 106
- 2024Large Multimodal Agents: A Surveycited by 105
- 2025TRAIL: Trace Reasoning and Agentic Issue Localizationcited by 104
12 most cited of 119 All 119 (JSON)
- 2026ChemArgus: Automated Scientific Diagnostics for Lab-Grade Multimodal Chemistry Reasoning: A Frontier Benchmark14 Oct 2026
- 2026Hybrid Reasoning Agents13 Oct 2026
- 2026DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents1 Oct 2026
- 2026Inducing Process Supervision from Outcome-Only Reinforcement Learning29 Sep 2026
- 2026IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis24 Sep 2026
- 2026Dense Process Supervision for Search Agents via Fact Utility Estimation1 Sep 2026
- 2026Beyond Confidence: Test-Time Scaling for Multi-Turn Search Agents via Retrieval Grounding25 Aug 2026
- 2026RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training19 Aug 2026
- 2026The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents7 Aug 2026
- 2026Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning5 Aug 2026
- 2026HopRefusalBench: Diagnosing Refusal Failures in Search-Augmented Agents for Multi-Hop Reasoning2 Aug 2026
- 2026TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning29 Jul 2026
12 newest of 119 All 119 (JSON)
- 2024WebVoyager: Building an End-to-End Web Agent with Large Multimodal Modelscited by 438
- 2024CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agentscited by 39
- 2024Assessment of Multimodal Large Language Models in Alignment with Human Valuescited by 36
- 2024INQUIRE: A Natural World Text-to-Image Retrieval Benchmarkcited by 33
- 2025Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuningcited by 19
- 2024VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Imagescited by 10
- 2026Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understandingcited by 7
- 2025OpenView: Empowering MLLMs with Out-of-view VQAcited by 3
- 2025DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agentscited by 2
- 2026UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Taskscited by 2
- 2025COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shiftscited by 1
- 2026PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Paperscited by 1
12 most cited of 17 All 17 (JSON)
- 2026UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks9 Jul 2026
- 2026Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks8 Jul 2026
- 2026ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents30 Jun 2026
- 2026VAMPS: Visual-Assisted Mathematical Problem Solving Benchmark2 Jun 2026
- 2026WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous Agents19 May 2026
- 2026Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception19 Apr 2026
- 2026PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Papers13 Apr 2026
- 2026Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding19 Mar 2026
- 2025OpenView: Empowering MLLMs with Out-of-view VQA21 Dec 2025
- 2025DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents22 Oct 2025
- 2025Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning30 Apr 2025
- 2025COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts14 Apr 2025
12 newest of 17 All 17 (JSON)
- 2026Advancing Open-source World Modelscited by 154
- 2025MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Serverscited by 96
- 2025WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Modelcited by 61
- 2024Project Sid: Many-agent simulations toward AI civilizationcited by 49
- 2024CityBench: Evaluating the Capabilities of Large Language Models for Urban Taskscited by 27
- 2024Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environmentscited by 6
- 2026HalluWorld: A Controlled Benchmark for Hallucination via Reference World Modelscited by 2
- 2026Efficient Agentic Reasoning Through Self-Regulated Simulative Planningcited by 1
- 2026World-Model Collapse as a Phase Transitioncited by 1
- 2026Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agentscited by 0
- 2026World Model Science: Self-Organized Criticality, Weak Chaos, and Metastable Belief Dynamics in Long-Horizon LLM Agentscited by 0
- 2026ReFract: Benchmarking Perspective Awareness in Language Model Agents with Text World Modelscited by 0
- 2026ReFract: Benchmarking Perspective Awareness in Language Model Agents with Text World Models2 Oct 2026
- 2026World Model Science: Self-Organized Criticality, Weak Chaos, and Metastable Belief Dynamics in Long-Horizon LLM Agents12 Jul 2026
- 2026World-Model Collapse as a Phase Transition30 Jun 2026
- 2026Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents26 Jun 2026
- 2026Efficient Agentic Reasoning Through Self-Regulated Simulative Planning21 May 2026
- 2026HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models19 May 2026
- 2026Advancing Open-source World Models28 Jan 2026
- 2025MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers20 Aug 2025
- 2025WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model23 Apr 2025
- 2024Project Sid: Many-agent simulations toward AI civilization31 Oct 2024
- 2024CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks20 Jun 2024
- 2024Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments11 Jan 2024
- 2025WebWalker: Benchmarking LLMs in Web Traversalcited by 175
- 2025A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applicationscited by 22
- 2025HiRA: A Hierarchical Reasoning Framework for Decoupled Planning and Execution in Deep Searchcited by 8
- 2026RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimizationcited by 6
- 2025SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QAcited by 3
- 2026Metadata, Structure, or Strategy? A Decomposition of RAG Context Enrichmentcited by 1
- 2026Metadata, Structure, or Strategy? A Decomposition of RAG Context Enrichment28 Jun 2026
- 2026RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization3 Mar 2026
- 2025A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications19 Oct 2025
- 2025SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA29 Sep 2025
- 2025HiRA: A Hierarchical Reasoning Framework for Decoupled Planning and Execution in Deep Search3 Jul 2025
- 2025WebWalker: Benchmarking LLMs in Web Traversal13 Jan 2025
- 2026Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generationcited by 18
- 2026When Do LLM Preferences Predict Downstream Behavior?cited by 7
- 2025A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Userscited by 6
- 2025PRInTS: Reward Modeling for Long-Horizon Information Seekingcited by 5
- 2026Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agentscited by 0
- 2026Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents13 Oct 2026
- 2026When Do LLM Preferences Predict Downstream Behavior?21 Feb 2026
- 2026Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation3 Feb 2026
- 2025PRInTS: Reward Modeling for Long-Horizon Information Seeking24 Nov 2025
- 2025A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users23 Sep 2025
- 2026Beyond Accuracy: Policy Invariance as a Reliability Test for LLM Safety Judgescited by 8
- 2026StepShield: When, Not Whether to Intervene on Rogue Agentscited by 7
- 2026BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debatecited by 0
- 2026REBAR: Reference Ethical Benchmark for Autonomy Readinesscited by 0
- 2026REBAR: Reference Ethical Benchmark for Autonomy Readiness18 May 2026
- 2026Beyond Accuracy: Policy Invariance as a Reliability Test for LLM Safety Judges7 May 2026
- 2026BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate28 Apr 2026
- 2026StepShield: When, Not Whether to Intervene on Rogue Agents29 Jan 2026
- 2023MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIcited by 2,080
- 2025BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agentscited by 647
- 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 468
- 2024AI Agents That Mattercited by 219
- 2024WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wildcited by 218
- 2025Measuring AI Ability to Complete Long Software Taskscited by 156
- 2025BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinesecited by 145
- 2024Observational Scaling Laws and the Predictability of Language Model Performancecited by 130
- 2025A Survey of Context Engineering for Large Language Modelscited by 126
- 2025WebShaper: Agentically Data Synthesizing via Information-Seeking Formalizationcited by 121
- 2024Empowering Biomedical Discovery with AI Agentscited by 118
- 2024Cradle: Empowering Foundation Agents Towards General Computer Controlcited by 117
12 most cited of 277 All 277 (JSON)
- 2026Harness Policy Distillation: Aligning Agent Policies with Runtime Semantics14 Oct 2026
- 2026When Protection Overrides Consequences: Understanding Protection Mode in Large Language Model Decision-Making14 Oct 2026
- 2026Why Do Agent Teams Fail Across Boundaries? A Failure Taxonomy for Agent-to-Agent Systems with Private States14 Oct 2026
- 2026MA-Bench: Measuring Operational Planning in Language Models13 Oct 2026
- 2026AgentStripes: An Evidence-Graded Maturity Model for AI Agents13 Oct 2026
- 2026LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents13 Oct 2026
- 2026Glasseek: A Transparent Recipe for Training and Trustworthy Evaluation of DeepSearch Agents12 Oct 2026
- 2026HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks12 Oct 2026
- 2026Words to World: Benchmarking LLMs in Interactive Physical Environments10 Oct 2026
- 2026DSABench: Benchmarking Source Discovery, Coordination, and Execution for Multi-Database Agents10 Oct 2026
- 2026MiniCorp: The Last Mile to an AI Agent Corporation5 Oct 2026
- 2026AgentPersonaBench: Benchmarking Persona-Driven User Simulation3 Oct 2026
12 newest of 277 All 277 (JSON)