5 papers · 1 filter
Dual-Scale World Models for LLM Agents Towards Hard-Exploration Problems
Minsoo Kim, Seung-won Hwang
LLM-based agents have seen promising advances, yet they are still limited in "hard-exploration" tasks requiring learning new knowledge through exploration. We present GLoW, a novel…
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…
Agent-as-Judge for Factual Summarization of Long Narratives
Yeonseok Jeong, Minsoo Kim, Seung-won Hwang +1
Large Language Models (LLMs) have demonstrated near-human performance in summarization tasks based on traditional metrics such as ROUGE and BERTScore. However, these metrics do not…
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Yoonsang Lee, Minsoo Kim, Seung-won Hwang
This paper studies the problem of information retrieval, to adapt to unseen tasks. Existing work generates synthetic queries from domain-specific documents to jointly train the ret…