Author

Youngeun Nam

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Preprint Sep 2026

TimelyRAG: Semantic-Temporal Hybrid Retrieval for Time-Critical Question Answering in Overlapping-Evolving Documents

TimelyRAG is proposed, a retriever-agnostic framework that incorporates temporal distance into ranking to align queries with version-appropriate documents, and TimelyQABench is introduced, the first benchmark for regulation-heavy domains with overlapping-evolving challenges.

Youngeun Nam, Joeun Kim, Hwanjun Song et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning

CluSTER is proposed, a Cluster-aware balanced Sampling framework for Training Efficient data Reduction in DP instruction tuning that curates a representative reduced dataset through gradient-space clustering and DP-aware balanced allocation, ensuring dual-level coverage across clusters and workers, while preserving the...

Hyunjin Kim, Youngeun Nam, Jaemin Han 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