1 citations · 1 across the 5 of their papers we have counts for
5 papers
Parallel Key-Value Cache Fusion for Position Invariant RAG
Philhoon Oh, Jinwoo Shin, James Thorne
Recent advancements in Large Language Models (LLMs) underscore the necessity of Retrieval Augmented Generation (RAG) to leverage external information. However, LLMs are sensitive t…
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean
Eunsu Kim, Juyoung Suk, Philhoon Oh +3
Despite the rapid development of large language models (LLMs) for the Korean language, there remains an obvious lack of benchmark datasets that test the requisite Korean cultural a…
eXplainable Bayesian Multi-Perspective Generative Retrieval
EuiYul Song, Philhoon Oh, Sangryul Kim +1
Modern deterministic retrieval pipelines prioritize achieving state-of-the-art performance but often lack interpretability in decision-making. These models face challenges in asses…
Detrimental Contexts in Open-Domain Question Answering
Philhoon Oh, James Thorne
For knowledge intensive NLP tasks, it has been widely accepted that accessing more information is a contributing factor to improvements in the model's end-to-end performance. Howev…
Knowledge Corpus Error in Question Answering
Yejoon Lee, Philhoon Oh, James Thorne
Recent works in open-domain question answering (QA) have explored generating context passages from large language models (LLMs), replacing the traditional retrieval step in the QA…