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AssetOpsBench
🚀19Generate and benchmark machine learning models with ease
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CUGA Agent
🤖98Configurable Generalist Agent, leader in AppWorld Benchmark
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ITBench-Lite-Space
🚀7Develop and run interactive code notebooks with JupyterLab
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VAKRA Leaderboard
🏆18Evaluate AI agents on multi‑hop, multi‑source enterprise tasks
Collections
Discover the best community collections!
Collections including paper arxiv:2503.16416
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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 305 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 308 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 55 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 70
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LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
Paper • 2508.15760 • Published • 47 -
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
Paper • 2508.01780 • Published • 21 -
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Paper • 2304.08244 • Published • 1 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162
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Survey on Evaluation of LLM-based Agents
Paper • 2503.16416 • Published • 96 -
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
Paper • 2505.04921 • Published • 187 -
Survey of User Interface Design and Interaction Techniques in Generative AI Applications
Paper • 2410.22370 • Published • 12 -
Survey of Hallucination in Natural Language Generation
Paper • 2202.03629 • Published
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AssetOpsBench
🚀19Generate and benchmark machine learning models with ease
-
CUGA Agent
🤖98Configurable Generalist Agent, leader in AppWorld Benchmark
-
ITBench-Lite-Space
🚀7Develop and run interactive code notebooks with JupyterLab
-
VAKRA Leaderboard
🏆18Evaluate AI agents on multi‑hop, multi‑source enterprise tasks
-
LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
Paper • 2508.15760 • Published • 47 -
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
Paper • 2508.01780 • Published • 21 -
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Paper • 2304.08244 • Published • 1 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162
-
Survey on Evaluation of LLM-based Agents
Paper • 2503.16416 • Published • 96 -
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
Paper • 2505.04921 • Published • 187 -
Survey of User Interface Design and Interaction Techniques in Generative AI Applications
Paper • 2410.22370 • Published • 12 -
Survey of Hallucination in Natural Language Generation
Paper • 2202.03629 • Published
-
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 305 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 308 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 55 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 70