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cs.CL2025
Syntriever: How to Train Your Retriever with Synthetic Data from LLMs
Minsang Kim, Seungjun Baek
LLMs have boosted progress in many AI applications. Recently, there were attempts to distill the vast knowledge of LLMs into information retrieval systems. Those distillation metho…
cs.CL2024
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology
Minsang Kim, Seungjun Baek
Large language models (LLMs) closely interact with humans, and thus need an intimate understanding of the cultural values of human society. In this paper, we explore how open-sourc…
cs.CL2024★ 1 cited
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
Minsang Kim, Cheoneum Park, Seungjun Baek
Retrieval-augmented generation (RAG) has received much attention for Open-domain question-answering (ODQA) tasks as a means to compensate for the parametric knowledge of large lang…