Chunting Zhou

70 papers A* 12B 1Journal 37Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
Byte Latent Transformer: Patches Scale Better Than Tokens.
ACL (1)
Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
2025 J jnl
CAT: Content-Adaptive Image Tokenization.
CoRR
Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, Lili Yu, Chunting Zhou
2025 J jnl
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models.
Trans. Mach. Learn. Res.
Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2025 A* conf
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
ICLR
Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy
2024 J jnl
ALMA: Alignment with Minimal Annotation.
CoRR
Michihiro Yasunaga, Leonid Shamis, Chunting Zhou, Andrew Cohen, Jason Weston, Luke Zettlemoyer, Marjan Ghazvininejad
2024 J jnl
Byte Latent Transformer: Patches Scale Better Than Tokens.
CoRR
Artidoro Pagnoni, Ram Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer
2024 A* conf
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
ICLR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
2024 — conf
Instruction-tuned Language Models are Better Knowledge Learners.
ACL (1)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
2024 J jnl
Instruction-tuned Language Models are Better Knowledge Learners.
CoRR
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
2024 J jnl
LMFusion: Adapting Pretrained Language Models for Multimodal Generation.
CoRR
Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Victoria Lin, Luke Zettlemoyer, Lili Yu
2024 — conf
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.
NAACL-HLT
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2024 A* conf
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length.
NeurIPS
Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
2024 J jnl
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length.
CoRR
Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
2024 J jnl
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models.
CoRR
Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2024 A* conf
Self-Alignment with Instruction Backtranslation.
ICLR
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis
2024 J jnl
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
CoRR
Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy
2023 J jnl
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.
CoRR
I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
2023 J jnl
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
CoRR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023 — conf
In-context Examples Selection for Machine Translation.
ACL (Findings)
Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad
2023 A* conf
LIMA: Less Is More for Alignment.
NeurIPS
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
2023 J jnl
LIMA: Less Is More for Alignment.
CoRR
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
2023 A* conf
Look-back Decoding for Open-Ended Text Generation.
EMNLP
Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
2023 J jnl
Look-back Decoding for Open-Ended Text Generation.
CoRR
Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
2023 J jnl
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.
CoRR
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2023 A* conf
Mega: Moving Average Equipped Gated Attention.
ICLR
Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2023 — —
Mitigating Semantic and Distributional Discrepancies in Natural Language Processing
Chunting Zhou
2023 — conf
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning.
ACL (Findings)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
2023 J jnl
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning.
CoRR
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
2023 J jnl
Self-Alignment with Instruction Backtranslation.
CoRR
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis
2023 — conf
Training Trajectories of Language Models Across Scales.
ACL (1)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
2022 J jnl
In-context Examples Selection for Machine Translation.
CoRR
Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad
2022 J jnl
Mega: Moving Average Equipped Gated Attention.
CoRR
Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2022 — conf
Prompt Consistency for Zero-Shot Task Generalization.
EMNLP (Findings)
Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022 J jnl
Prompt Consistency for Zero-Shot Task Generalization.
CoRR
Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022 A* conf
Towards a Unified View of Parameter-Efficient Transfer Learning.
ICLR
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022 J jnl
Training Trajectories of Language Models Across Scales.
CoRR
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
2022 — ed.
Transfer Learning for Natural Language Processing Workshop, 03 December 2022, New Orleans, Louisiana, USA
TL4NLP
Alon Albalak, Chunting Zhou, Colin Raffel, Deepak Ramachandran, Sebastian Ruder, Xuezhe Ma
2021 — conf
Detecting Hallucinated Content in Conditional Neural Sequence Generation.
ACL/IJCNLP (Findings)
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad
2021 — conf
Distributionally Robust Multilingual Machine Translation.
EMNLP (1)
Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
2021 J jnl
Distributionally Robust Multilingual Machine Translation.
CoRR
Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
2021 A* conf
Examining and Combating Spurious Features under Distribution Shift.
ICML
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
2021 J jnl
Examining and Combating Spurious Features under Distribution Shift.
CoRR
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
2021 J jnl
Learning Structures for Deep Neural Networks.
CoRR
Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu
2021 A* conf
Luna: Linear Unified Nested Attention.
NeurIPS
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021 J jnl
Luna: Linear Unified Nested Attention.
CoRR
Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021 J jnl
Towards a Unified View of Parameter-Efficient Transfer Learning.
CoRR
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2020 J jnl
Detecting Hallucinated Content in Conditional Neural Sequence Generation.
CoRR
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad
2020 A* conf
Understanding Knowledge Distillation in Non-autoregressive Machine Translation.
ICLR
Chunting Zhou, Jiatao Gu, Graham Neubig
2019 — conf
Density Matching for Bilingual Word Embedding.
NAACL-HLT (1)
Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
2019 J jnl
Density Matching for Bilingual Word Embedding.
CoRR
Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
2019 — conf
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow.
EMNLP/IJCNLP (1)
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
2019 J jnl
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow.
CoRR
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
2019 — conf
Handling Syntactic Divergence in Low-resource Machine Translation.
EMNLP/IJCNLP (1)
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
2019 J jnl
Handling Syntactic Divergence in Low-resource Machine Translation.
CoRR
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
2019 — conf
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders.
ICLR (Poster)
Xuezhe Ma, Chunting Zhou, Eduard H. Hovy
2019 J jnl
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders.
CoRR
Xuezhe Ma, Chunting Zhou, Eduard H. Hovy
2019 J jnl
The ARIEL-CMU Systems for LoReHLT18.
CoRR
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 Kayi, Noura Farra, Kathleen R. McKeown
2019 J jnl
Understanding Knowledge Distillation in Non-autoregressive Machine Translation.
CoRR
Chunting Zhou, Graham Neubig, Jiatao Gu
2018 A* conf
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations.
EMNLP
Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
2018 J jnl
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations.
CoRR
Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
2018 — conf
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.
ACL (1)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2018 J jnl
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.
CoRR
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2017 — conf
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders.
CoNLL Shared Task (1)
Chunting Zhou, Graham Neubig
2017 — conf
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction.
ACL (1)
Chunting Zhou, Graham Neubig
2017 J jnl
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction.
CoRR
Chunting Zhou, Graham Neubig
2015 J jnl
A C-LSTM Neural Network for Text Classification.
CoRR
Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau
2015 J jnl
Category Enhanced Word Embedding.
CoRR
Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau
2015 — conf
Efficient Methods for Multi-label Classification.
PAKDD (1)
Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau
2015 B conf
Optimized Periodical Charging in Large-Scale Deployed WSNs.
GLOBECOM
Zhenquan Qin, Bingxian Lu, Chunting Zhou, Lei Wang, Ming Zhu, Lei Shu, Xiaojing Zhu
2013 — conf
A practical solution to wireless energy transfer in WSNs.
ICTC
Zhenquan Qin, Chunting Zhou, Yue Yu, Lei Wang, Liang Sun, Yuanyuan Zhang