Richard He Bai
Richard He Bai
Other namesRichard Bai, He Bai
Research Scientist, Apple Machine Learning Research
Verified email at - Homepage
Cited by
Cited by
AT: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
H Bai, R Zheng, J Chen, M Ma, X Li, L Huang
International Conference on Machine Learning, 1399-1411, 2022
Segatron: Segment-Aware Transformer for Language Modeling and Understanding
H Bai, P Shi, J Lin, Y Xie, L Tan, K Xiong, W Gao, M Li
AAAI 2021, 2020
Cross-lingual training of dense retrievers for document retrieval
P Shi, R Zhang, H Bai, J Lin
Proceedings of the 1st Workshop on Multilingual Representation Learning, 251-253, 2021
Cross-lingual training of neural models for document ranking
P Shi, H Bai, J Lin
Findings of the Association for Computational Linguistics: EMNLP 2020, 2768-2773, 2020
Xricl: Cross-lingual retrieval-augmented in-context learning for cross-lingual text-to-sql semantic parsing
P Shi, R Zhang, H Bai, J Lin
EMNLP 2022, 2022
Better language model with hypernym class prediction
H Bai, T Wang, A Sordoni, P Shi
ACL 2022, 2022
Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language
H Bai, Y Zhou, J Zhang, L Zhao, MY Hwang, C Zong
COLING 2018, 2018
Rephrasing the web: A recipe for compute and data-efficient language modeling
P Maini, S Seto, H Bai, D Grangier, Y Zhang, N Jaitly
arXiv preprint arXiv:2401.16380, 2024
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
H Bai, Y Zhou, J Zhang, C Zong
ACL 2019, 2019
Semantics of the unwritten: The effect of end of paragraph and sequence tokens on text generation with GPT2
H Bai, P Shi, J Lin, L Tan, K Xiong, W Gao, J Liu, M Li
ACL 2021, 2020
How Far Are We from Intelligent Visual Deductive Reasoning?
Y Zhang, H Bai, R Zhang, J Gu, S Zhai, J Susskind, N Jaitly
arXiv preprint arXiv:2403.04732, 2024
Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup
P Shi, L Song, L Jin, H Mi, H Bai, J Lin, D Yu
Findings of the Association for Computational Linguistics: EMNLP 2022, 5296-5306, 2022
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Z Wu, H Bai, A Zhang, J Gu, VG Vydiswaran, N Jaitly, Y Zhang
arXiv preprint arXiv:2402.15000, 2024
KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know
S Zheng, H Bai, Y Zhang, Y Su, X Niu, N Jaitly
arXiv preprint arXiv:2312.11539, 2023
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition
Z Gu, T Likhomanenko, H Bai, E McDermott, R Collobert, N Jaitly
arXiv preprint arXiv:2405.15216, 2024
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
A Mousavi, X Zhan, H Bai, P Shi, T Rekatsinas, B Han, Y Li, J Pound, ...
arXiv preprint arXiv:2309.11669, 2023
Novel Methods for Natural Language Modeling and Pretraining
H Bai
University of Waterloo, 2023
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
X Fan, C Pang, T Yuan, H Bai, R Zheng, P Zhu, S Wang, J Chen, Z Chen, ...
arXiv preprint arXiv:2211.03545, 2022
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