Chunting Zhou

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 53

Top Topics

Text Classification

Machine Translation

Top Venues

Publications

Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT (2024)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR (2024)
Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. CoRR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) (2024)
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis
Self-Alignment with Instruction Backtranslation. ICLR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
Instruction-tuned Language Models are Better Knowledge Learners. CoRR (2024)
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
LIMA: Less Is More for Alignment. CoRR (2023)
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis
Self-Alignment with Instruction Backtranslation. CoRR (2023)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
Training Trajectories of Language Models Across Scales. ACL (1) (2023)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. ACL (Findings) (2023)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR (2023)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. CoRR (2023)
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR (2023)
Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
Look-back Decoding for Open-Ended Text Generation. CoRR (2023)
Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
LIMA: Less Is More for Alignment. NeurIPS (2023)
Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
Look-back Decoding for Open-Ended Text Generation. EMNLP (2023)
Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
Mega: Moving Average Equipped Gated Attention. ICLR (2023)
Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad
In-context Examples Selection for Machine Translation. ACL (Findings) (2023)
I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR (2023)
Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) (2022)
Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Prompt Consistency for Zero-Shot Task Generalization. CoRR (2022)
Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
Mega: Moving Average Equipped Gated Attention. CoRR (2022)
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR (2022)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
Training Trajectories of Language Models Across Scales. CoRR (2022)
Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad
In-context Examples Selection for Machine Translation. CoRR (2022)
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) (2021)
Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu
Learning Structures for Deep Neural Networks. CoRR (2021)
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
Examining and Combating Spurious Features under Distribution Shift. ICML (2021)
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR (2021)
Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
Distributionally Robust Multilingual Machine Translation. EMNLP (1) (2021)
Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
Distributionally Robust Multilingual Machine Translation. CoRR (2021)
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
Luna: Linear Unified Nested Attention. NeurIPS (2021)
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
Examining and Combating Spurious Features under Distribution Shift. CoRR (2021)
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
Luna: Linear Unified Nested Attention. CoRR (2021)
Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad
Detecting Hallucinated Content in Conditional Neural Sequence Generation. CoRR (2020)
Chunting Zhou, Jiatao Gu, Graham Neubig
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. ICLR (2020)
Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
Density Matching for Bilingual Word Embedding. NAACL-HLT (1) (2019)
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
Handling Syntactic Divergence in Low-resource Machine Translation. CoRR (2019)
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
Handling Syntactic Divergence in Low-resource Machine Translation. EMNLP/IJCNLP (1) (2019)
Chunting Zhou, Graham Neubig, Jiatao Gu
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. CoRR (2019)
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. CoRR (2019)
Xuezhe Ma, Chunting Zhou, Eduard H. Hovy
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. CoRR (2019)
Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
Density Matching for Bilingual Word Embedding. CoRR (2019)
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. EMNLP/IJCNLP (1) (2019)
Xuezhe Ma, Chunting Zhou, Eduard H. Hovy
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. ICLR (Poster) (2019)
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu, Noura Farra, Kathleen R. McKeown
The ARIEL-CMU Systems for LoReHLT18. CoRR (2019)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. ACL (1) (2018)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. CoRR (2018)
Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. EMNLP (2018)
Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. CoRR (2018)
Chunting Zhou, Graham Neubig
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders. CoNLL Shared Task (1) (2017)
Chunting Zhou, Graham Neubig
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. ACL (1) (2017)
Chunting Zhou, Graham Neubig
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. CoRR (2017)
Zhenquan Qin, Bingxian Lu, Chunting Zhou, Lei Wang, Ming Zhu, Lei Shu, Xiaojing Zhu
Optimized Periodical Charging in Large-Scale Deployed WSNs. GLOBECOM (2015)
Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau
Efficient Methods for Multi-label Classification. PAKDD (1) (2015)
Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau
Category Enhanced Word Embedding. CoRR (2015)
Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau
A C-LSTM Neural Network for Text Classification. CoRR (2015)
Zhenquan Qin, Chunting Zhou, Yue Yu, Lei Wang, Liang Sun, Yuanyuan Zhang
A practical solution to wireless energy transfer in WSNs. ICTC (2013)