arXiv Computation and Language
TabAgent: Distilling LLM Agent Components into Cheap Classifiers
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AgenticDataBench: A Comprehensive Benchmark for Data Agents
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Learning Compositional Meta-Routing for Agentic Workflows: An Executable Benchmark
arXiv:2608. 00106v1 Announce Type: new Abstract: Agentic systems must decide not only what answer to produce, but which reasoning and execution operations should precede it.
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HyperAgent: Planning and Acting over Tool-Schema Hypergraphs for Tool-Use LLM Agents
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PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents
arXiv:2607. 06008v1 Announce Type: new Abstract: Large language model (LLM) agents have shown strong performance in long-horizon tasks that require planning, tool use, and interaction with external environments.
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Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
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Exploring Autonomous Agentic Data Engineering for Model Specialization
arXiv:2605. 30407v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated strong performance on general tasks, while often struggling to adapt to specialized domains without high-quality domain-specific data.