4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SD2026
TAD: Token-Adaptive Contrastive Decoding with Confidence-Guided Gating for Hallucination Mitigation in Large Audio-Language Models
Heyu Chang, Nianwen Si, Hao Zhang +2
Large audio-language models (LALMs) can hallucinate audio objects, answering "yes" to absent sound events, thus undermining reliability in audio question answering. We propose Toke…
cs.CL2023★ 4 cited
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges
Nianwen Si, Hao Zhang, Heyu Chang +3
In recent years, large language models (LLMs) have spurred a new research paradigm in natural language processing. Despite their excellent capability in knowledge-based question an…
cs.CL2023★ 2 cited
Tuning Large language model for End-to-end Speech Translation
Hao Zhang, Nianwen Si, Yaqi Chen +4
With the emergence of large language models (LLMs), multimodal models based on LLMs have demonstrated significant potential. Models such as LLaSM, X-LLM, and SpeechGPT exhibit an i…