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RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents
- Lee, SeungHoo;
- Kwon, JuneHyoung;
- Choi, Jooweon;
- Yun, JungMin;
- Yu, Seunguk;
- ... Kim, YoungBin;
- 외 2명
Citations
WEB OF SCIENCE
0초록
Accurate citation is critical, yet error rates remain high across scientific literature. We present RefLens, an end-to-end system that automates citation verification from PDF parsing to interactive report generation. Unlike summary- or embedding-based approaches, RefLens performs evidence-grounded verification by extracting verbatim spans from original sources and displaying citation-level cards and a paperlevel dashboard. In a 35-participant study, users rated value (M=4.34), trust (M=4.15), and usability (M=4.19) highly, with strong adoption intention (M=4.28). Project Page- https://hoohahabighead.github.io/RefLens Code- https://github.com/hoohahaBIGHEAD/RefLens-app
- 제목
- RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents
- 저자
- Lee, SeungHoo; Kwon, JuneHyoung; Choi, Jooweon; Yun, JungMin; Yu, Seunguk; Lee, Yoonji; Jang, Jinhee; Kim, YoungBin
- 발행일
- 2026
- 유형
- Proceedings Paper
- 저널명
- FORTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE
- 권
- 40
- 호
- 48
- 페이지
- 41625 ~ 41627