2 citations · 5 across the 11 of their papers we have counts for
11 papers
MT-Web2Code: Benchmarking Coding Agents on Multi-Turn Regional Reconstruction and Localized Modification
Qiming Li, Shujie Hu, Haohan Liu +3
Recent advances in Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities in web UI generation. However, existing benchmarks predominantly focus on single-t…
ProsoCodec: Prosody-Oriented Speech Codec for Voice Conversion
Jeongsoo Choi, Ji-Hoon Kim, Shujie Hu +1
Neural speech codecs efficiently compress speech and have become a foundation for speech generation, but they are typically learned as holistic representations that intertwine ling…
LongCat-AudioDiT: High-Fidelity Diffusion Text-to-Speech in the Waveform Latent Space
Detai Xin, Shujie Hu, Chengzuo Yang +4
We present LongCat-AudioDiT, a novel, non-autoregressive diffusion-based text-to-speech (TTS) model that achieves state-of-the-art (SOTA) performance. Unlike previous methods that…
MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination
Zhuo Li, Yupeng Zhang, Pengyu Cheng +8
Hallucination remains a critical bottleneck for large language models (LLMs), undermining their reliability in real-world applications, especially in Retrieval-Augmented Generation…
Semantic-VAE: Semantic-Alignment Latent Representation for Better Speech Synthesis
Zhikang Niu, Shujie Hu, Jeongsoo Choi +8
Mel-spectrograms have been widely used in zero-shot text-to-speech (TTS); their inherent redundancy leads to inefficiency in text-speech alignment. Compact VAE-based latent represe…
Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling
Haiyang Sun, Shujie Hu, Shujie Liu +8
Zero-shot streaming text-to-speech is an important research topic in human-computer interaction. Existing methods primarily use a lookahead mechanism, relying on future text to ach…
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Liang Chen, Zekun Wang, Shuhuai Ren +24
Building on the foundations of language modeling in natural language processing, Next Token Prediction (NTP) has evolved into a versatile training objective for machine learning ta…
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
Zongyi Li, Shujie Hu, Shujie Liu +7
Text-to-video models have recently undergone rapid and substantial advancements. Nevertheless, due to limitations in data and computational resources, achieving efficient generatio…
Autoregressive Speech Synthesis without Vector Quantization
Lingwei Meng, Long Zhou, Shujie Liu +9
We present MELLE, a novel continuous-valued token based language modeling approach for text-to-speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram f…
WavLLM: Towards Robust and Adaptive Speech Large Language Model
Shujie Hu, Long Zhou, Shujie Liu +9
The recent advancements in large language models (LLMs) have revolutionized the field of natural language processing, progressively broadening their scope to multimodal perception…
Boosting Large Language Model for Speech Synthesis: An Empirical Study
Hongkun Hao, Long Zhou, Shujie Liu +4
Large language models (LLMs) have made significant advancements in natural language processing and are concurrently extending the language ability to other modalities, such as spee…