6 papers
Adaptive Retrieval for Reasoning-Intensive Retrieval
Jongho Kim, Jaeyoung Kim, Seung-won Hwang +3
We study leveraging adaptive retrieval to ensure sufficient "bridge" documents are retrieved for reasoning-intensive retrieval. Bridge documents are those that contribute to the re…
Relevance to Utility: Process-Supervised Rewrite for RAG
Jaeyoung Kim, Jongho Kim, Seung-won Hwang +2
Retrieval-augmented generation systems often suffer from a gap between optimizing retrieval relevance and generative utility. With such a gap, retrieved documents may be topically…
On Listwise Reranking for Corpus Feedback
Soyoung Yoon, Jongho Kim, Daeyong Kwon +2
Reranker improves retrieval performance by capturing document interactions. At one extreme, graph-aware adaptive retrieval (GAR) represents an information-rich regime, requiring a…
Chaining Event Spans for Temporal Relation Grounding
Jongho Kim, Dohyeon Lee, Minsoo Kim +1
Accurately understanding temporal relations between events is a critical building block of diverse tasks, such as temporal reading comprehension (TRC) and relation extraction (TRE)…
Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation
Jongho Kim, Romain Storaï, Seung-won Hwang
In this study, we investigate the potential of language models (LMs) in aiding patients experiencing anomia, a difficulty identifying the names of items. Identifying the intended t…
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
Jongho Kim, Seung-won Hwang
Despite the advanced capabilities of large language models (LLMs), their temporal reasoning ability remains underdeveloped. Prior works have highlighted this limitation, particular…