2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Context Filtering with Reward Modeling in Question Answering
Sangryul Kim, James Thorne
Question Answering (QA) in NLP is the task of finding answers to a query within a relevant context retrieved by a retrieval system. Yet, the mix of relevant and irrelevant informat…
cs.IR2024★ 2 cited
Re3val: Reinforced and Reranked Generative Retrieval
EuiYul Song, Sangryul Kim, Haeju Lee +2
Generative retrieval models encode pointers to information in a corpus as an index within the model's parameters. These models serve as part of a larger pipeline, where retrieved i…
cs.IR2024
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…