Eunseong Choi (최은성)

I am a Research Scientist at Liner, working on helping people get smarter faster. I received my Ph.D. from 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 passage re-ranking.

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

Work Experience

ML Research Scientist, Core Tech Division

Liner, Seoul, Republic of Korea

Dec 2025 – Present

Trained and deployed a neural re-ranker, improving retrieval performance by 12.5% over the previous production model
Built a daily incremental pipeline to improve search index freshness

Research Intern, Search & Ranking Modeling

NAVER Corp., Seongnam-si, Gyeonggi, Republic of Korea

Mar 2025 – Apr 2025

Continual fine-tuning for recency-aware dense retrieval

Research Intern, Search CIC

NAVER Corp., Seongnam-si, Gyeonggi, Republic of Korea

Jul 2021 – Aug 2021

Learned sparse representation for efficient first-stage retrieval

Education

M.S./Ph.D., Artificial Intelligence

Sungkyunkwan University

Mar 2020 – Feb 2026

Advisor: Prof. Jongwuk Lee

Thesis: Improving Evidentiality and Compression for Retrieval-Augmented Generation

B.S., Architecture

B.S., Samsung Convergence Software Course

Sungkyunkwan University

Mar 2012 – Feb 2020

Publications

Under Review

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

International Conferences

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
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)

Domestic Journals & Conferences

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

Talks

From Research to Production in Agentic RAG

Invited Talk, Korea Information Processing Society (KIPS)

Aug 27, 2026

From IR to RAG: When Search Meets AI

Guest Lecture, Big Data Mining Course, Hankuk University of Foreign Studies

Jun 9, 2026

Honors & Awards

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