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DelucionQA: Detecting Hallucinations in Domain-specific Question Answering.

, , , , , , , , and . EMNLP (Findings), page 822-835. Association for Computational Linguistics, (2023)

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Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications., , and . TACCESS, 8 (2): 7:1-7:23 (2016)A two-level schema for detecting recognition errors., and . INTERSPEECH, page 449-452. ISCA, (2004)Using Paralinguistic Information to Disambiguate User Intentions for Distinguishing Phrase Structure and Sarcasm in Spoken Dialog Systems., , , , and . SLT, page 1020-1027. IEEE, (2021)A Comparative Study of Discriminative Methods for Reranking LVCSR N-Best Hypotheses in Domain Adaptation and Generalization., , , and . ICASSP (1), page 141-144. IEEE, (2006)Pseudo-Conventional N-Gram Representation of the Discriminative N-Gram Model for LVCSR., and . J. Sel. Topics Signal Processing, 4 (6): 943-952 (2010)A multi-pass error detection and correction framework for Mandarin LVCSR., , and . INTERSPEECH, ISCA, (2006)DRF: Improving Certified Robustness via Distributional Robustness Framework., , and . AAAI, page 15752-15760. AAAI Press, (2024)CoAug: Combining Augmentation of Labels and Labelling Rules., , , , , and . ACL (Findings), page 9062-9071. Association for Computational Linguistics, (2023)EyeClick: A Robust Two-Step Eye-Hand Interaction for Text Entry in Augmented Reality Glasses., , , , , , and . UIST (Adjunct Volume), page 91:1-91:4. ACM, (2023)Recasting the discriminative n-gram model as a pseudo-conventional n-gram model for LVCSR., and . ICASSP, page 4933-4936. IEEE, (2008)