2 citations · 2 across the 4 of their papers we have counts for
4 papers
Unsupervised Text Style Transfer for Controllable Intensity
Shuhuan Gu, Wenbiao Tao, Xinchen Ma +4
Unsupervised Text Style Transfer (UTST) aims to build a system to transfer the stylistic properties of a given text without parallel text pairs. Compared with text transfer between…
Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving
Jingran Xie, Xiang Li, Hui Wang +4
Large language models (LLMs) have shown remarkable generalization across tasks, leading to increased interest in integrating speech with LLMs. These speech LLMs (SLLMs) typically u…
Preference Adaptive and Sequential Text-to-Image Generation
Ofir Nabati, Guy Tennenholtz, ChihWei Hsu +5
We address the problem of interactive text-to-image (T2I) generation, designing a reinforcement learning (RL) agent which iteratively improves a set of generated images for a user…
UniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner
Dongchao Yang, Haohan Guo, Yuanyuan Wang +5
The Large Language models (LLMs) have demonstrated supreme capabilities in text understanding and generation, but cannot be directly applied to cross-modal tasks without fine-tunin…