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Zhejiang University
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SlimSearcher cuts tool-call rounds by up to 58% without sacrificing accuracy, redefining efficiency in web agent training.
HarnessFix reveals that targeted, trace-guided repairs can significantly enhance LLM agent performance by addressing specific harness flaws rather than relying on broad modifications.
Even the best MLLMs struggle to meet user requirements, achieving only 66% coverage of essential task functions.
