On Effectiveness and Efficiency of Agentic Tool-calling and RL Training

In three linesStudy of effectiveness and efficiency of tool-calling in LLM agents. Authors show evaluation pipelines are sensitive to minor choices (random seed, system prompt, multi-turn templates) affecting leaderboard reliability. They identify two sources of computational waste in RL and propose two acceleration techniques without performance degradation.

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