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RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents
- Lee, Seung Hoo;
- Kwon, June Hyoung;
- Choi, Jooweon;
- Yun, Jung Min;
- Yu, Seunguk;
- ... Kim, Young Bin;
- 외 2명
Citations
WEB OF SCIENCE
0Citations
SCOPUS
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 paper-level 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).
- 제목
- RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents
- 저자
- Lee, Seung Hoo; Kwon, June Hyoung; Choi, Jooweon; Yun, Jung Min; Yu, Seunguk; Lee, Yoonji; Jang, Jinhee; Kim, Young Bin
- 발행일
- 2026
- 유형
- Conference Paper
- 저널명
- Proceedings of the AAAI Conference on Artificial Intelligence
- 권
- 40
- 호
- 48
- 페이지
- 41625 ~ 41627