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Up to 47% of reported fine-tuning gains in tool retrieval are an evaluation illusion caused by benchmarks treating functionally equivalent tools as retrieval failures.
CHAP achieves a breakthrough in generative retrieval by aligning dynamic queries with static item representations, enhancing both relevance and inference efficiency.
ATLAS reveals that understanding both immediate request trajectories and long-term user interactions can dramatically enhance the performance of industrial tool-use agents.
