1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
Kaehyun Um, KyuHwan Yeom, Haerim Yang +3
Large Language Models (LLMs) have recently demonstrated remarkable reasoning abilities, yet hallucinate on knowledge-intensive tasks. Retrieval-augmented generation (RAG) mitigates…
cs.AI2025★ 1 cited
VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation
Hyojun Choi, Seokju Hwang, Kyong-Ho Lee
Competency Questions (CQs) play a crucial role in validating ontology design. While manually crafting CQs can be highly time-consuming and costly for ontology engineers, recent stu…
cs.CL2022
Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances
Wongyu Kim, Youbin Ahn, Donghyun Kim +1
Each utterance in multi-turn empathetic dialogues has features such as emotion, keywords, and utterance-level meaning. Feature transitions between utterances occur naturally. Howev…