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cs.CL2023
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Julius Cheng, Andreas Vlachos
Minimum Bayes risk (MBR) decoding outputs the hypothesis with the highest expected utility over the model distribution for some utility function. It has been shown to improve accur…
cs.CL2023
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
Eric Chamoun, Marzieh Saeidi, Andreas Vlachos
Prior research has shown that typical fact-checking models for stand-alone claims struggle with claims made in dialogues. As a solution, fine-tuning these models on labelled dialog…
cs.CL2023
QA-NatVer: Question Answering for Natural Logic-based Fact Verification
Rami Aly, Marek Strong, Andreas Vlachos
Fact verification systems assess a claim's veracity based on evidence. An important consideration in designing them is faithfulness, i.e. generating explanations that accurately re…