1 citations · 2 across the 21 of their papers we have counts for
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Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning
Huchen Jiang, Yangyang Ma, Chaofan Ding +2
With current state-of-the-art approaches aimed at enhancing the reasoning capabilities of Large Language Models(LLMs) through iterative preference learning inspired by AlphaZero, w…
Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio
Gongyu Chen, Haomin Zhang, Chaofan Ding +2
One fascinating aspect of pre-trained Audio-Language Models (ALMs) learning is their impressive zero-shot generalization capability and test-time adaptation (TTA) methods aiming to…
Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models
Changqun Li, Chaofan Ding, Kexin Luan +1
Fine-tuning pre-trained large language models in a parameter-efficient manner is widely studied for its effectiveness and efficiency. LoRA is one of the most widely used methods, w…
YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls
Zihao Chen, Haomin Zhang, Xinhan Di +10
Generating sound effects for product-level videos, where only a small amount of labeled data is available for diverse scenes, requires the production of high-quality sounds in few-…
Self-Supervised Learning of Deviation in Latent Representation for Co-speech Gesture Video Generation
Huan Yang, Jiahui Chen, Chaofan Ding +5
Gestures are pivotal in enhancing co-speech communication. While recent works have mostly focused on point-level motion transformation or fully supervised motion representations th…
Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation
Xinhan Di, Zihao Chen, Yunming Liang +3
Large-scale text-to-speech (TTS) models have made significant progress recently.However, they still fall short in the generation of Chinese dialectal speech. Toaddress this, we pro…