3 papers
cs.CL2025
CHILL at SemEval-2025 Task 2: You Can't Just Throw Entities and Hope -- Make Your LLM to Get Them Right
Jaebok Lee, Yonghyun Ryu, Seongmin Park +1
In this paper, we describe our approach for the SemEval 2025 Task 2 on Entity-Aware Machine Translation (EA-MT). Our system aims to improve the accuracy of translating named entiti…
cs.CL2025
HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse
Yuwei An, Yihua Cheng, Seo Jin Park +1
Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing the performance of large language models (LLMs) by integrating external knowledge into the gen…
cs.CL2024
Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
Seongmin Park, Kyungho Kim, Jaejin Seo +1
We present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches…