Education & Experience
Experience
NAVER Corp. - Research Intern
Research title: Sparse-Dense Hybrid Retrieval.
Mentor: Sunghyun Park, Ph.D.
Education
Seoul National University - Ph.D. in Computer Science and Engineering
Advisor: Prof. Seung-won Hwang.
Doctoral dissertation: Feedback-Driven Alignment Framework for Robust Retrieval Agents in Unseen Domains.
Yonsei University - M.S. in Computer Science
Advisor: Prof. Seung-won Hwang.
Master's thesis: Orthogonal Disentanglement of Semantic and Symbolic Representation for Query-Document Matching.
Yonsei University - B.S. in Computer Science
GPA: 4.06 / 4.5.
Research
I aim to build reliable information-seeking agents that adapt to unfamiliar domains and improve through accumulated experience.
Robust Information-Seeking Agents
I study how agents select retrieval actions, refine queries, and use test-time reasoning to answer complex questions with external evidence.
Hybrid Retrieval and RAG
I combine corpus-level statistics and complementary sparse and dense retrieval signals to improve data generation and retrieval-augmented generation.
Feedback-Driven Adaptation
I investigate how retrieval-state feedback and evidence quality can guide alignment and zero-shot adaptation to unseen domains.
Agentic Memory
I study how to generate memories from past trajectories, retrieve and update them for future tasks, and manage them under practical inference constraints.
Publications 17 papers
Beyond Markovian Forgetfulness: Episodic Memory for Reasoning-Intensive Retrieval
Dohyeon Lee, Yeonseok Jeong, and Seung-won Hwang.
D3: Dynamic Docid Decoding for Multi-Intent Generative Retrieval
Jaeyoung Kim*, Dohyeon Lee*, Soona Hong*, and Seung-won Hwang.
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
Dohyeon Lee, Yeonseok Jeong, and Seung-won Hwang.
ECoRAG: Evidentiality-guided Compression for Long Context RAG
Yeonseok Jeong, Jinsu Kim, Dohyeon Lee, and Seung-won Hwang.
Query-focused Referentiability Learning for Zero-shot Retrieval
Jaeyoung Kim, Dohyeon Lee, and Seung-won Hwang.
tRAG: Term-level Retrieval-Augmented Generation for Zero-shot Retrieval
Dohyeon Lee, Jongyoon Kim, Jihyuk Kim, Seung-won Hwang, and Joonsuk Park.
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, and Seung-won Hwang.
DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval
Dohyeon Lee*, Jongyoon Kim*, Seung-won Hwang, and Joonsuk Park.
HIL: Hybrid Isotropy Learning for Zero-shot Performance in Dense Retrieval
Jaeyoung Kim, Dohyeon Lee, and Seung-won Hwang.
Script-mix: Mixing Scripts for Low-resource Language Parsing
Jaeseong Lee, Dohyeon Lee, and Seung-won Hwang.
Chaining Event Spans for Temporal Relation Grounding
Jongho Kim, Dohyeon Lee, Minsoo Kim, and Seung-won Hwang.
On Complementarity Objectives for Hybrid Retrieval
Dohyeon Lee, Seung-won Hwang, Kyungjae Lee, Seungtaek Choi, and Sunghyun Park.
C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval
Jaeseong Lee*, Dohyeon Lee*, Jongho Kim, and Seung-won Hwang.
Script, Language, Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization
Jaeseong Lee, Dohyeon Lee, and Seung-won Hwang.
PLM-based World Models for Text-based Games
Minsoo Kim, Yeonjoon Jung, Dohyeon Lee, and Seung-won Hwang.
Robustifying Multi-hop QA through Pseudo-Evidentiality Training
Kyungjae Lee, Seung-won Hwang, Sang-eun Han, and Dohyeon Lee.
SCOPA: Soft Code-Switching, Pairwise Alignment for Zero-Shot Cross-lingual Transfer
Dohyeon Lee*, Jaeseong Lee*, Gyewon Lee, Byung-Gon Chun, and Seung-won Hwang.