2 citations · 7 across the 16 of their papers we have counts for
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cs.LG2023★ 2 cited
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
Zehua Chen, Guande He, Kaiwen Zheng +2
In text-to-speech (TTS) synthesis, diffusion models have achieved promising generation quality. However, because of the pre-defined data-to-noise diffusion process, their prior dis…
cs.LG2023★ 1 cited
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting
Guande He, Peng Cui, Jianfei Chen +2
Despite the significant progress made in practical applications of aligned language models (LMs), they tend to be overconfident in output answers compared to the corresponding pre-…
cs.CL2023★ 1 cited
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
Guande He, Jianfei Chen, Jun Zhu
Large pre-trained language models (PLMs) have demonstrated strong performance on natural language understanding (NLU) tasks through fine-tuning. However, fine-tuned models still su…