관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
GRAD: Generalizing RAG Adaptation with Decoding
Youngwon Lee, Seung-won Hwang, Zhewei Yao, Yuxiong He.
SNU황승원
Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation
Kyunghoon Jeon, Youmin Ko, Woohwan Jung, Hyunjoon Kim
KU정우환
Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG
Dong-Hee Kim, Seonwoo Choi, Changbeen Kim, Jungmyung Wi, Juyeon Ko, Youngju Choi, Il Hyeon Mun, Hyunwoo J. Kim, Donghyun Kim
KAIST김현우
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
Woongyeong Yeo, Kangsan Kim, Soyeong Jeong, Jinheon Baek, Sung Ju Hwang
KAIST황성주
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia
KAIST박찬영
Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering
Changin Choi, Wonseok Lee, Jungmin Ko, Wonjong Rhee
SNU이원종
Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes
J. Park, S. Ryu, J. Sohn, J. Moon
Yonsei손지용
RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
Kaehyun Um, Kyuhwan Yeom, Haerim Yang, Minyoung Choi, Hyeongjun Yang, Kyong-Ho Lee
Yonsei이경호
GeneRAG: A Retrieval-Augmented Framework for Spatially Resolved Gene Expression Prediction
Hyeongsub Kim, Sihyun Kim, Minyoung Cho, Sanghyun Jo, Minhyeong Lee, Kyungsu Kim
SNU김경수
CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents
Jaewon Jung, Haizhong Zheng, Hongsun Jang, Jaeyong Song, Beidi Chen, Jinho Lee
SNU이진호
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
Seongwoong Shim, Myunsoo Kim, Jae Hyeon Cho, Byung-Jun Lee
KU이병준
Clone: A Collaborative Multi-device System for Retrieval-Augmented Generation over CXL
S. Ko*, W. Doh*, E. Na, H. Shim, S. Yun, J. So, Y. Kwon, S-S. Park, S-D. Roh, M. Yoon, T. Song, E. Lee, and J. Ahn
SNU안정호
M3KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation
Hyeongcheol Park, Jiyoung Seo, Jaewon Mun, Hogun Park, Wonmin Byeon, Sung June Kim, Hyeonsoo Im, JeungSub Lee, Sangpil Kim
KU김상필
How You Ask Matters! Adaptive RAG Robustness to Query Variations
Yunah Jang, Megha Sundriyal, Kyomin Jung, Meeyoung Cha
SNU정교민
Relevance to Utility: Process-Supervised Rewrite for RAG
{Jaeyoung Kim, Jongho Kim}, Seung-won Hwang, Seoho Song, Young-In Song.
SNU황승원
When Retrieval Similarity Hurts: A Diagnostic Framework for Document Weighting in Black-Box RAG
Dongju Seo, Beakcheol Jang
Yonsei장백철
A Tree-based RAG Framework for Evidence-Intensive QA via Adaptive Planning and Topology-Aware Evidence Gathering
Songeun Lee, Kyungjin Min, Injae Na, Suyeong Lee, Chiyoung Kim, Woohwan Jung
KU정우환
Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering
Jongha Kim, Byungoh Ko, Jeehye Na, Jinsung Yoon, Hyunwoo J. Kim
KAIST김현우
PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation
Chaeyoung Huh, Hyunmin Hwang, Jung Hwan Shin, Sungyang Jo, Jinse Park, Jong Chul Ye
KAIST예종철
Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability
Choi, J., Yun, T., Ban, M., Sun, G., Lee, J., and Song, H.
KAIST이재길
K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance
Eunbyeol Cho, Yunseung Lee, Mirae Kim, Jeewon Yang, Youngjun Kwak, Edward Choi
KAIST최윤재
RAPO: Retrieval-Augmented Phase Ordering
Jinwook Yang*, Junghyun Lee*, Yeonsun Hong, Hyojin Sung (*: co-first authors)
SNU성효진
TRACE: Traceable Retrieval-Augmented Criteria-based Evidence for Robust Vision-Language Model Safety Guardrails
A Yeon Kim, Taekyoung Kwon
Yonsei권태경
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
Sunwoo Kim, Geon Lee, Kyungho Kim, Jaemin Yoo, Kijung Shin
SNU유재민
ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering
Daeyong Kwon, Seungheon Doh, and Juhan Nam
KAIST남주한
Defending against knowledge poisoning attacks during retrieval-augmented generation
Kennedy Edemacu, Vinay M Shashidhar, Dan Abudu, Micheal Tuape, Beakcheol Jang, Jong Wook Kim
Yonsei장백철
HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAG
Jinyoung Park, Sanghyeok Lee, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
KAIST김현우
Can Small Open-source Language Models with Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support?
Chanhee Park, In Hae Park, Minhyuk Kim, Youngjoon Jang, Heuiseok Lim
KU임희석
AdaCache: Efficient and Robust Noise-Resistant Semantic Caching for RAG
S. Chen, L. Zhang, S.-W. Lee
KU이성환