2 citations · 3 across the 8 of their papers we have counts for
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cs.CL2023★ 2 cited
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…
cs.CL2023
CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models
Wenhong Zhu, Hongkun Hao, Zhiwei He +6
We are currently in an era of fierce competition among various large language models (LLMs) continuously pushing the boundaries of benchmark performance. However, genuinely assessi…
cs.CL2023
Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation
Wenhong Zhu, Hongkun Hao, Rui Wang
The decoding algorithm is critical for open-ended text generation, transforming latent representations into coherent and meaningful outputs. This paper investigates the self-reinfo…