Xu, Qiantong

6 publications

NeurIPSW 2023 On the Tool Manipulation Capability of Open-Sourced Large Language Models Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, Jian Zhang

ICML 2022 Data2vec: A General Framework for Self-Supervised Learning in Speech, Vision and Language Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli

ICML 2022 Flashlight: Enabling Innovation in Tools for Machine Learning Jacob D Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

NeurIPS 2021 CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov

ICMLW 2020 End-to-End ASR: From Supervised to Semi-Supervised Learning with Modern Architectures Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert

ICML 2020 Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang