Conformal joint abstention for multilingual scientific claim verification
A meaningful synthesis or new comparison
The idea rates 6 because its strongest overlap is with [3], which already fuses retrieval compatibility and verifier feedback for calibrated risk-controlled refusal, while [1] covers multilingual calibration…
Large language models (LLMs) can achieve strong fact-checking accuracy, yet forced binary decisions conceal a critical reliability problem: systems may issue confident verdicts even when supporting evidence is weak, sparse, or internally inconsistent. We…