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Catastrophic collapses in tool-use performance can be mitigated by strategically interleaving supervised fine-tuning with reinforcement learning.
Instance-level experiential knowledge boosts LLM tool use performance significantly more than abstract knowledge, reshaping how we approach knowledge integration in AI.
