26 citations · 26 across the 4 of their papers we have counts for
4 papers
GANDR: Claim Auditing for Verifiable Legal Answer Generation
Chen Qian, Yimeng Wang, Yu Chen +2
In high-stakes domains such as legal practice, a language-model answer is only useful to the extent that a reader can verify each claim against the source the system cites. Current…
AtomCite: Verification and Correction of Supplied Page-Level Citations in Multi-Page Documents
Chen Qian, Yimeng Wang, Yu Chen +2
Large language models answering questions over multi-page documents are expected to cite the supporting pages, yet supplied citations are sometimes inaccurate, and current evaluati…
From "Thinking" to "Justifying": Aligning High-Stakes Explainability with Professional Communication Standards
Chen Qian, Yimeng Wang, Yu Chen +2
Explainable AI (XAI) in high-stakes domains should help stakeholders trust and verify system outputs. Yet Chain-of-Thought methods reason before concluding, and logical gaps or hal…
A Preconditioned Hybrid SVD Method for Computing Accurately Singular Triplets of Large Matrices
Lingfei Wu, Andreas Stathopoulos
The computation of a few singular triplets of large, sparse matrices is a challenging task, especially when the smallest magnitude singular values are needed in high accuracy. Most…