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cs.IR2026
TimelyRAG: Semantic-Temporal Hybrid Retrieval for Time-Critical Question Answering in Overlapping-Evolving Documents
Youngeun Nam, Joeun Kim, Hwanjun Song +3
Although large language models (LLMs) and retrieval-augmented generation (RAG) have advanced open-domain question answering (QA), they remain unreliable when documents evolve throu…
cs.IR2023
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Susik Yoon, Dongha Lee, Yunyi Zhang +1
Unsupervised discovery of stories with correlated news articles in real-time helps people digest massive news streams without expensive human annotations. A common approach of the…
cs.IR2023
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream
Susik Yoon, Hou Pong Chan, Jiawei Han
Summarizing text-rich documents has been long studied in the literature, but most of the existing efforts have been made to summarize a static and predefined multi-document set. Wi…