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ORCIDHe Bai 0002
Person information
- affiliation: University of Waterloo, School of Computer Science, Canada
- affiliation (former): Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- He Bai 0001
![[0000-0002-4247-0698]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4247-0698")
— Oklahoma State University, School of Mechanical and Aerospace Engineering, Stillwater, OK, USA (and 3 more) - He Bai 0003 — City Cloud Technology (Hangzhou) Co., Ltd., China (and 1 more)
- He Bai 0004 — Dalian University of Technology, School of Management, China
- He Bai 0005 — University of Science and Technology Beijing, China
- He Bai 0007 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- He Bai 0008 — Shanghai Normal University, China
- He Bai 0009 — National University of Defense Technology, College of Computer Science and Technology, Changsha, China
- He Bai 0010 — Xidian University, School of Electronic Engineering, Xi'an, China
- He Bai 0011 — Peking University, School of Electronic and Computer Engineering, Shenzhen, China
- He Bai 0012 — China Academy of Space Technology, National Key Laboratory of Science and Technology on Space Microwave, Xi'an, China
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Conference and Workshop Papers
- 2024
[c11]Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) 2024: 14044-14072- [c10]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING 2024: 3782-3803 - 2022
- [c9]He Bai, Tong Wang, Alessandro Sordoni, Peng Shi:
Better Language Model with Hypernym Class Prediction. ACL (1) 2022: 1352-1362 - [c8]Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing. EMNLP (Findings) 2022: 5248-5259 - [c7]Peng Shi, Linfeng Song, Lifeng Jin, Haitao Mi, He Bai, Jimmy Lin, Dong Yu:
Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup. EMNLP (Findings) 2022: 5296-5306 - [c6]He Bai, Renjie Zheng, Junkun Chen, Mingbo Ma, Xintong Li, Liang Huang:
A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing. ICML 2022: 1399-1411 - 2021
- [c5]He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
Segatron: Segment-Aware Transformer for Language Modeling and Understanding. AAAI 2021: 12526-12534 - [c4]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2. ACL (student) 2021: 148-162 - 2020
- [c3]Peng Shi, He Bai, Jimmy Lin:
Cross-Lingual Training of Neural Models for Document Ranking. EMNLP (Findings) 2020: 2768-2773 - 2019
- [c2]He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. ACL (1) 2019: 5448-5453 - 2018
- [c1]He Bai, Yu Zhou, Jiajun Zhang, Liang Zhao, Mei-Yuh Hwang, Chengqing Zong:
Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. COLING 2018: 3597-3607
Informal and Other Publications
- 2024
- [i17]Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR abs/2401.16380 (2024) - [i16]Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR abs/2402.15000 (2024) - [i15]Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly:
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR abs/2403.04732 (2024) - [i14]Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly:
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR abs/2405.15216 (2024) - [i13]He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly:
dMel: Speech Tokenization made Simple. CoRR abs/2407.15835 (2024) - 2023
- [i12]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR abs/2309.11669 (2023) - [i11]Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly:
KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. CoRR abs/2312.11539 (2023) - 2022
- [i10]He Bai, Renjie Zheng, Junkun Chen, Xintong Li, Mingbo Ma, Liang Huang:
A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing. CoRR abs/2203.09690 (2022) - [i9]He Bai, Tong Wang, Alessandro Sordoni, Peng Shi:
Better Language Model with Hypernym Class Prediction. CoRR abs/2203.10692 (2022) - [i8]Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing. CoRR abs/2210.13693 (2022) - [i7]Xiaoran Fan, Chao Pang, Tian Yuan, He Bai, Renjie Zheng, Pengfei Zhu, Shuohuan Wang, Junkun Chen, Zeyu Chen, Liang Huang, Yu Sun, Hua Wu:
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech. CoRR abs/2211.03545 (2022) - 2021
- [i6]Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
Cross-Lingual Training with Dense Retrieval for Document Retrieval. CoRR abs/2109.01628 (2021) - 2020
- [i5]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten. CoRR abs/2004.02251 (2020) - [i4]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
SegaBERT: Pre-training of Segment-aware BERT for Language Understanding. CoRR abs/2004.14996 (2020) - [i3]Minghan Li, He Bai, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures. CoRR abs/2010.11351 (2020) - 2019
- [i2]He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. CoRR abs/1906.01788 (2019) - 2018
- [i1]He Bai, Yu Zhou, Jiajun Zhang, Liang Zhao, Mei-Yuh Hwang, Chengqing Zong:
Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. CoRR abs/1808.06167 (2018)
Coauthor Index
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