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Eunseong Choi (최은성)

I am a Ph.D. candidate in the DIAL Lab at Sungkyunkwan University, advised by Prof. Jongwuk Lee. My research lies in Information Retrieval (IR) and Natural Language Processing (NLP), with a focus on building robust and efficient Retrieval-Augmented Generation (RAG) frameworks. In particular, I study context–memory conflicts, prompt compression, and reasoning-intensive retrieval to enable scalable and reliable real-world applications.

• Retrieval-Augmented Generation: Mitigating context–memory conflicts, incorporating evidentiality, and guiding robust LLM reasoning
• LLM Efficiency & Compression: Reducing computational cost through hard and soft prompt compression while preserving semantic fidelity
• Document Retrieval: From efficiency-focused sparse retrieval to reasoning-intensive retrieval for complex information needs

Keywords: Retrieval-Augmented Generation, Efficient LLMs, Information Retrieval, NLP

[CV] | | | | |

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Publications

• Generative Log Anomaly Detection with Large Language Models
  Youngbin Kim, Hyunsoo Kim, Jubong Park, Eunseong Choi, Jongwuk Lee
  Under Review

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• NEW✨ Multi-view-guided Passage Reranking with Large Language Models
  [paper] [code]
  Jeongwoo Na*, Jun Kwon*, Eunseong Choi, Jongwuk Lee (* : equal contribution)
  EMNLP 2025, Suzhou, China
• NEW✨ Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
  [paper] [code]
  Eunseong Choi, June Park, Hyeri Lee, Jongwuk Lee
  EMNLP 2025, Suzhou, China
• GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
  [paper] [code]
  Sunkyung Lee, Minjin Choi, Eunseong Choi, Hye-young Kim, Jongwuk Lee
  ACL 2025, Vienna, Austria
• From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression
  [paper] [code] [poster] [slide]
  Eunseong Choi, Sunkyung Lee, Minjin Choi, June Park, Jongwuk Lee
  EMNLP Findings 2024, Miami, Florida
• Multi-Granularity Guided Fusion-in-Decoder
  [paper] [code] [poster] [slide]
  Eunseong Choi, Hyeri Lee, Jongwuk Lee
  NAACL Findings 2024, Mexico City, Mexico
• Forgetting-aware Linear Bias for Attentive Knowledge Tracing
  [paper] [code]
  Yoonjin Im*, Eunseong Choi*, Heejin Kook, Jongwuk Lee (* : equal contribution)
  CIKM 2023, Birmingham, UK
• ConQueR: Contextualized Query Reduction using Search Logs
  [paper] [code]
  Hye-young Kim*, Minjin Choi*, Sunkyung Lee, Eunseong Choi, Young-In Song, Jongwuk Lee (* : equal contribution)
  SIGIR 2023, Taipei, Taiwan
• SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval
  [paper] [code]
  Eunseong Choi*, Sunkyung Lee*, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee (* : equal contribution)
  CIKM 2022, Atlanta, Georgia, USA
• Long-tail Mixup for Extreme Multi-label Classification
  [paper]
  Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee
  CIKM 2022, Atlanta, Georgia, USA
• MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
  [paper] [code] [slide] [video]
  Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee
  NAACL 2021, Mexico City, Mexico (Virtual Event)

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• 지식 추적 모델의 성능 개선을 위한 양자화된 정답률 임베딩 방법 [paper]
  임윤진, 문재완, 최은성, 이종욱
  정보과학회논문지 (Journal of KIISE) Vol.50 No.4 [2023]: 329-336, April 2023
• 적은 양의 병렬 말뭉치를 가진 한국어 방언 간 딥 러닝 기반 기계번역 [paper]
  한상민, 최은성, 이종욱
  한국정보과학회 학술발표논문집 Vol.2022 No.12 [2022]: 1619-1621, Dec 2022
• 의사 문장 표현을 활용한 수학 문장형 문제 풀이 모델 (우수발표논문상) [paper]
  김지우, 이선경, 최은성, 이종욱
  한국정보과학회 학술발표논문집 Vol.2022 No.06 [2022]: 446-448, Jun 2022
• 지식 추적 모델의 정확도 개선을 위한 양자화된 정답률 임베딩 방법 (우수논문상) [paper]
  임윤진, 문재완, 최은성, 이종욱
  한국정보과학회 학술발표논문집 Vol.2022 No.06 [2022]: 1172-1174, Jun 2022
• 기계 독해 성능 개선을 위한 데이터 증강 기법 [paper]
  이선경, 최은성, 정선호, 이종욱
  정보과학회논문지 (Journal of KIISE) Vol.48 No.12 [2021]: 1298-1304, Nov 2021

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• Research Intern, Search & Ranking Modeling
  NAVER Corp., Seongnam-si, Gyeonggi, Republic of Korea
  Mar 2025 – Apr 2025
  Focus: Continual fine-tuning for recency-aware dense retrieval
• Research Intern, Search CIC
  NAVER Corp., Seongnam-si, Gyeonggi, Republic of Korea
  Jul 2021 – Aug 2021
  Focus: Learned sparse retrieval with uni-encoder for efficient first-stage retrieval

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• 🏆1st Prize, Best Graduate Research Paper Award – SKKU, 2024 (KRW 5,000,000)
• 2nd Place, AI Grand Challenge for Policy Support AI – IITP, 2023
• 🥇1st Place, AI Grand Challenge for Math Word Problem Solving – IITP, 2022
• 2nd Prize, Best Graduate Research Paper Award – SKKU, 2021 (KRW 6,000,000)