Miao, Ning

7 publications

ICLR 2024 SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning Ning Miao, Yee Whye Teh, Tom Rainforth

ICML 2023 Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim

ICLR 2022 On Incorporating Inductive Biases into VAEs Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth

ICML 2020 Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation Wenxian Shi, Hao Zhou, Ning Miao, Lei Li

AISTATS 2020 Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li

AAAI 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li

NeurIPS 2019 Kernelized Bayesian SoftMax for Text Generation Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li