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cs.CL2026
Don't Lose Entities from Retrieval to Generation: Dual Entity Recovery RAG for multi-hop QA
Heechang Lee, Dong-Young Lim
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…
cs.CL2026
TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics
Heechan Lee, Jeonggyu Kang, Junho Myung +3
Group conversations are fundamental to human collaboration, yet standard large language models (LLMs) still struggle with the complexities of multi-party interaction. This challeng…