What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
Paper • 2608.27260 • Published • 59
Xingshan Zeng
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MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large
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MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
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FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
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ToolACE-MCP: Generalizing History-Aware Routing from MCP Tools to the Agent Web
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EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
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