5 papers
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)…
ECoRAG: Evidentiality-guided Compression for Long Context RAG
Yeonseok Jeong, Jinsu Kim, Dohyeon Lee +1
Large Language Models (LLMs) have shown remarkable performance in Open-Domain Question Answering (ODQA) by leveraging external documents through Retrieval-Augmented Generation (RAG…
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
Dohyeon Lee, Yeonseok Jeong, Seung-won Hwang
Chain-of-Thought (CoT) prompting enables complex reasoning in large language models (LLMs), including applications in information retrieval (IR). However, it often leads to overthi…
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
Yeonjoon Jung, Jaeseong Lee, Seungtaek Choi +3
Recently, pre-trained language models (PLMs) have been increasingly adopted in spoken language understanding (SLU). However, automatic speech recognition (ASR) systems frequently p…
Robustifying Multi-hop QA through Pseudo-Evidentiality Training
Kyungjae Lee, Seung-won Hwang, Sang-eun Han +1
This paper studies the bias problem of multi-hop question answering models, of answering correctly without correct reasoning. One way to robustify these models is by supervising to…