Author

Doyoung Kim

korea advanced institute of science and technology

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Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference Passages

A novel reference-free preference optimization framework D UAL R EFORM that generates pseudo reference passages from commonly-encountered conversational datasets containing only queries and responses that achieves 96.9–99.1% of the retrieval accuracy attainable only with reference passages.

Doyoung Kim, Youngjun Lee, Joeun Kim et al. · 0 citations

Conference Open access 2026

QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval

This work presents Q U DAR, a dual-perspective adaptive retrieval framework motivated by a systematic analysis of retrieval behavior across retriever type and query format, enabling effective integration of complementary retrieval signals while mitigating noise.

Joeun Kim, Seunghyouk Yoon, Xuan-Bach Le et al. · Annual Meeting of the Associ... · 1 citation