Chunting Zhou

According to our database, Chunting Zhou authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy

CoRR, 2024

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length.

Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou

CoRR, 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.

Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

In-Context Pretraining: Language Modeling Beyond Document Boundaries.

Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Alignment with Instruction Backtranslation.

Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instruction-tuned Language Models are Better Knowledge Learners.

Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu

CoRR, 2023

LIMA: Less Is More for Alignment.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mega: Moving Average Equipped Gated Attention.

Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Look-back Decoding for Open-Ended Text Generation.

Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Training Trajectories of Language Models Across Scales.

Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning.

Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

In-context Examples Selection for Machine Translation.

Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards a Unified View of Parameter-Efficient Transfer Learning.

Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompt Consistency for Zero-Shot Task Generalization.

Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Learning Structures for Deep Neural Networks.

Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu

CoRR, 2021

Luna: Linear Unified Nested Attention.

Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Examining and Combating Spurious Features under Distribution Shift.

Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig

Proceedings of the 38th International Conference on Machine Learning, 2021

Distributionally Robust Multilingual Machine Translation.

Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Detecting Hallucinated Content in Conditional Neural Sequence Generation.

Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Detecting Hallucinated Content in Conditional Neural Sequence Generation.

Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad

CoRR, 2020

Understanding Knowledge Distillation in Non-autoregressive Machine Translation.

Chunting Zhou, Jiatao Gu, Graham Neubig

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

The ARIEL-CMU Systems for LoReHLT18.

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

CoRR, 2019

Density Matching for Bilingual Word Embedding.

Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders.

Xuezhe Ma, Chunting Zhou, Eduard H. Hovy

Proceedings of the 7th International Conference on Learning Representations, 2019

Handling Syntactic Divergence in Low-resource Machine Translation.

Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow.

Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations.

Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.

Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Morphological Inflection Generation with Multi-space Variational Encoder-Decoders.

Chunting Zhou, Graham Neubig

Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017

Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction.

Chunting Zhou, Graham Neubig

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015

A C-LSTM Neural Network for Text Classification.

Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau

CoRR, 2015

Category Enhanced Word Embedding.

Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau

CoRR, 2015

Efficient Methods for Multi-label Classification.

Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Optimized Periodical Charging in Large-Scale Deployed WSNs.

Zhenquan Qin, Bingxian Lu, Chunting Zhou, Lei Wang, Ming Zhu, Lei Shu, Xiaojing Zhu

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2013

A practical solution to wireless energy transfer in WSNs.

Zhenquan Qin, Chunting Zhou, Yue Yu, Lei Wang, Liang Sun, Yuanyuan Zhang

Proceedings of the International Conference on Information and Communication Technology Convergence, 2013