Gradable Adjective Embedding for Commonsense Knowledge. - Kyungjae Lee 002; Hyunsouk Cho; Seung-won Hwang (PAKDD (2), 2017)

Translations as Additional Contexts for Sentence Classification. - Reinald Kim Amplayo; Kyungjae Lee 002; Jinyeong Yeo; Seung-won Hwang (IJCAI, 2018)

Semi-supervised Training Data Generation for Multilingual Question Answering. - Kyungjae Lee 002; Kyoungho Yoon; Sunghyun Park 005; Seung-won Hwang (LREC, 2018)

Learning with Limited Data for Multilingual Reading Comprehension. - Kyungjae Lee 002; Sunghyun Park 005; Hojae Han; Jinyoung Yeo; Seung-won Hwang; Juho Lee (EMNLP/IJCNLP (1), 2019)

Categorical Metadata Representation for Customized Text Classification. - Jihyeok Kim; Reinald Kim Amplayo; Kyungjae Lee 002; Sua Sung; Minji Seo; Seung-won Hwang (Trans. Assoc. Comput. Linguistics, 2019)

Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos. - Kyungjae Lee 002; Nan Duan; Lei Ji 001; Jason Li; Seung-won Hwang (AAAI, 2020)

Instructional Video Summarization Using Attentive Knowledge Grounding. - Kyungho Kim; Kyungjae Lee 002; Seung-won Hwang (ECML/PKDD (5), 2020)

Robustifying Multi-hop QA through Pseudo-Evidentiality Training. - Kyungjae Lee 002; Seung-won Hwang; Sang-eun Han; Dohyeon Lee (ACL/IJCNLP (1), 2021)

Query Generation for Multimodal Documents. - Kyungho Kim; Kyungjae Lee 002; Seung-won Hwang; Young-In Song; Seungwook Lee (EACL, 2021)

Plug-and-Play Adaptation for Continuously-updated QA. - Kyungjae Lee 002; Wookje Han; Seung-won Hwang; Hwaran Lee; Joonsuk Park; Sang-Woo Lee 001 (ACL (Findings), 2022)

When to Read Documents or QA History: On Unified and Selective Open-domain QA. - Kyungjae Lee 002; Sang-eun Han; Seung-won Hwang; Moontae Lee (ACL (Findings), 2023)

On Complementarity Objectives for Hybrid Retrieval. - Dohyeon Lee; Seung-won Hwang; Kyungjae Lee 002; Seungtaek Choi; Sunghyun Park 005 (ACL (1), 2023)

On Sample-Efficient Code Generation. - Hojae Han; Yu Jin Kim; Byoungjip Kim; Youngwon Lee 003; Kyungjae Lee 002; Kyungmin Lee; Moontae Lee; Kyunghoon Bae; Seung-won Hwang (EMNLP (Industry Track), 2023)

PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering. - Wookje Han; Jinsol Park; Kyungjae Lee 002 (EMNLP, 2023)

Exploring the Benefits of Training Expert Language Models over Instruction Tuning. - Joel Jang; Seungone Kim; Seonghyeon Ye; Doyoung Kim 001; Lajanugen Logeswaran; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (ICML, 2023)

QASA: Advanced Question Answering on Scientific Articles. - Yoonjoo Lee; Kyungjae Lee 002; Sunghyun Park 005; Dasol Hwang; Jaehyeon Kim; Hong-In Lee; Moontae Lee (ICML, 2023)

On Monotonic Aggregation for Open-domain QA. - Sang-eun Han; Yeonseok Jeong; Seung-won Hwang; Kyungjae Lee 002 (INTERSPEECH, 2023)

Revisiting Dense Retrieval with Unanswerable Counterfactuals. - Yongho Song; Dahyun Lee; Kyungjae Lee 002; Jinyeong Yeo (CoRR, 2023)

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion. - Hyunseung Lim; Ji Yong Cho; Taewan Kim; Jeongeon Park; Hyungyu Shin; Seulgi Choi; Sunghyun Park 005; Kyungjae Lee 002; Juho Kim 001; Moontae Lee; Hwajung Hong (Conference on Designing Interactive Systems, 2024)

KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR. - Hajung Kim; Chanhwi Kim; Hoonick Lee; Kyochul Jang; Jiwoo Lee; Kyungjae Lee 002; Gangwoo Kim; Jaewoo Kang (ClinicalNLP@NAACL, 2024)

Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering. - Yongho Song; Dahyun Lee; Myungha Jang; Seung-won Hwang; Kyungjae Lee 002; Dongha Lee 003; Jinyoung Yeo (EACL (Findings), 2024)

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. - Seungone Kim; Juyoung Suk; Shayne Longpre; Bill Yuchen Lin; Jamin Shin; Sean Welleck; Graham Neubig; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (EMNLP, 2024)

Enhancing Fusion-in-Decoder for Multi-Granularity Ranking. - Haeju Park; Kyungjae Lee 002; Sunghyun Park 005; Moontae Lee (IR-RAG@SIGIR, 2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection. - Kyungjae Lee 002; Dasol Hwang; Sunghyun Park 005; Youngsoo Jang; Moontae Lee (CoRR, 2024)

Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation. - Takyoung Kim; Kyungjae Lee 002; Young Rok Jang; Ji Yong Cho; Gangwoo Kim; Minseok Cho; Moontae Lee (NAACL (Findings), 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL. - Hyungjoo Chae; Dongjin Kang; Jihyuk Kim; Beong-woo Kwak; Sunghyun Park 005; Haeju Park; Jinyoung Yeo; Moontae Lee; Kyungjae Lee 002 (CoRR, 2025)