E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification
Decomposition, embedding and interaction for scalable factuality verification.
Selected work involving the team, with original titles, publication status and accessible sources.

Decomposition, embedding and interaction for scalable factuality verification.
Executable Skills for language-agent orchestration of quantum calibration.
Crystal structure prediction conditioned on composition, combining generation and search.
A finite-time thermodynamic study of charging power and efficiency.
Residual discrepancy modeling and reusable evidence representations for bi-encoder verification.
Evaluating relationships between atomic facts against supporting evidence.
Chromosome-scale genome data for wild and cultivated Morinda officinalis.
Includes work from different research collaborations. EMNLP 2026 acceptance status is based on team-provided records; downloads are not offered for entries without a public source.