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João Coelho

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  1. arXiv

    A multi-step query-rewriting agent iterates retrieval with corpus feedback, lifting TopiOCQA MRR from 37.8 to 41.4

    The work recasts conversational query rewriting as a sequential retrieval problem in which an agent chooses among intent resolution, lexical reformulation, and pseudo-document synthesis, conditioning each rewrite on passages returned by the previous step, and is trained by supervised fine-tuning plus reinforcement learning against retrieval quality alone with no human rewrite annotations; it achieves the highest MRR and NDCG@3 on TopiOCQA and QReCC and transfers zero-shot to TREC CAsT and to dense retrieval backends.

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