Chunting Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Byte Latent Transformer: Patches Scale Better Than Tokens. | Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodrguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer |
| 2025 | ICLR | 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 |
| 2024 | ACL | Instruction-tuned Language Models are Better Knowledge Learners. | Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodrguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer |
| 2024 | ICLR | Self-Alignment with Instruction Backtranslation. | Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis |
| 2024 | ICLR | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | In-context Examples Selection for Machine Translation. | Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2023 | ACL | 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 |
| 2023 | ACL | Training Trajectories of Language Models Across Scales. | Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov |
| 2023 | EMNLP | Look-back Decoding for Open-Ended Text Generation. | Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma |
| 2023 | ICLR | Mega: Moving Average Equipped Gated Attention. | Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer |
| 2022 | EMNLP | Prompt Consistency for Zero-Shot Task Generalization. | Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2022 | ICLR | Towards a Unified View of Parameter-Efficient Transfer Learning. | Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2021 | ACL | Detecting Hallucinated Content in Conditional Neural Sequence Generation. | Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmn, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2021 | EMNLP | Distributionally Robust Multilingual Machine Translation. | Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig |
| 2021 | ICML | Examining and Combating Spurious Features under Distribution Shift. | Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig |
| 2020 | ICLR | Understanding Knowledge Distillation in Non-autoregressive Machine Translation. | Chunting Zhou, Jiatao Gu, Graham Neubig |
| 2019 | EMNLP | FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. | Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy |
| 2019 | EMNLP | Handling Syntactic Divergence in Low-resource Machine Translation. | Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig |
| 2019 | ICLR | MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. | Xuezhe Ma, Chunting Zhou, Eduard H. Hovy |
| 2019 | NAACL | Density Matching for Bilingual Word Embedding. | Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig |
| 2018 | ACL | StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. | Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig |
| 2018 | EMNLP | 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 |
| 2017 | ACL | Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. | Chunting Zhou, Graham Neubig |
| 2017 | CoNLL | Morphological Inflection Generation with Multi-space Variational Encoder-Decoders. | Chunting Zhou, Graham Neubig |
| 2015 | GLOBECOM | Optimized Periodical Charging in Large-Scale Deployed WSNs. | Zhenquan Qin, Bingxian Lu, Chunting Zhou, Lei Wang, Ming Zhu, Lei Shu, Xiaojing Zhu |
| 2015 | PAKDD | Efficient Methods for Multi-label Classification. | Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau |