12 citations · 34 across the 22 of their papers we have counts for
4 papers · 1 filter
SeqXGPT: Sentence-Level AI-Generated Text Detection
Pengyu Wang, Linyang Li, Ke Ren +3
Widely applied large language models (LLMs) can generate human-like content, raising concerns about the abuse of LLMs. Therefore, it is important to build strong AI-generated text…
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
Xin Zhang, Dong Zhang, Shimin Li +2
Current speech large language models build upon discrete speech representations, which can be categorized into semantic tokens and acoustic tokens. However, existing speech tokens…
DUB: Discrete Unit Back-translation for Speech Translation
Dong Zhang, Rong Ye, Tom Ko +2
How can speech-to-text translation (ST) perform as well as machine translation (MT)? The key point is to bridge the modality gap between speech and text so that useful MT technique…
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Dong Zhang, Shimin Li, Xin Zhang +4
Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT.…