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Heechan Lee

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#artificial intelligence Preprint Sep 2026

DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents

In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves. While AI agents are increasingly used as discussion partners, existing multi-agent systems place a heavy burden on users to initiate and carefully orchestrate the disc...

Heechan Lee, Juhyeon Choi, Tae Soo Kim et al. · 0 citations
#natural language process... Preprint Sep 2026

Don't Lose Entities from Retrieval to Generation: Dual Entity Recovery RAG for multi-hop QA

Retrieval-augmented multi-hop question answering (QA) decomposes a query into sub-questions and decomposes the corpus into smaller retrieval units such as sentences. Both forms of decomposition improve the pipeline, but we show that both share the same vulnerability, the loss of entity information, and that this loss b...

Heechan Lee, Dong-Young Lim · 0 citations

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