Ma, Xuezhe

17 publications

ICLRW 2025 AIDE: Agentically Improve Visual Language Model with Domain Experts Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Yacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu

ICLR 2025 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

AAAI 2024 MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang

NeurIPS 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

ICCV 2023 Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma

NeurIPSW 2023 How Long Can Context Length of Open-Source LLMs Truly Promise? Dacheng Li, Rulin Shao, Anze Xie, Ying Sheng, Lianmin Zheng, Joseph Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang

NeurIPS 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

NeurIPSW 2023 LightSeq: : Sequence Level Parallelism for Distributed Training of Long Context Transformers Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang

ICLR 2023 Mega: Moving Average Equipped Gated Attention Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer

NeurIPSW 2022 Robust Representation Learning for Group Shifts and Adversarial Examples Ming-Chang Chiu, Xuezhe Ma

ICLR 2022 Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

ICLR 2021 Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H Hovy

ICML 2021 Examining and Combating Spurious Features Under Distribution Shift Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig

NeurIPS 2021 Luna: Linear Unified Nested Attention Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer

ICLR 2019 MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma, Chunting Zhou, Eduard Hovy

NeurIPS 2019 MaCow: Masked Convolutional Generative Flow Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard Hovy

ICLR 2017 Dropout with Expectation-Linear Regularization Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy