4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CL2024
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
Guangzhi Sun, Potsawee Manakul, Adian Liusie +4
Multimodal foundation models are prone to hallucination, generating outputs that either contradict the input or are not grounded by factual information. Given the diversity in arch…
cs.CL2021★ 4 cited
Transformer Language Models with LSTM-based Cross-utterance Information Representation
G. Sun, C. Zhang, P. C. Woodland
The effective incorporation of cross-utterance information has the potential to improve language models (LMs) for automatic speech recognition (ASR). To extract more powerful and r…