Mengzhou Xia

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 44

Top Topics

Natural Language Processing

Textual Entailment

Accurate Models

Top Venues

Publications

Yu Meng, Mengzhou Xia, Danqi Chen
SimPO: Simple Preference Optimization with a Reference-Free Reward. CoRR (2024)
Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. CoRR (2024)
Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training. CoRR (2024)
Luxi He, Mengzhou Xia, Peter Henderson
What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety. CoRR (2024)
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen
LESS: Selecting Influential Data for Targeted Instruction Tuning. CoRR (2024)
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. ICLR (2024)
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao
LitSearch: A Retrieval Benchmark for Scientific Literature Search. CoRR (2024)
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR (2024)
Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen
Language Models as Science Tutors. CoRR (2024)
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. ICLR (2024)
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR (2024)
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Detecting Pretraining Data from Large Language Models. ICLR (2024)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
Training Trajectories of Language Models Across Scales. ACL (1) (2023)
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR (2023)
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. CoRR (2023)
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
Trainable Transformer in Transformer. CoRR (2023)
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Detecting Pretraining Data from Large Language Models. CoRR (2023)
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. CoRR (2023)
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. EMNLP (2022)
Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
MABEL: Attenuating Gender Bias using Textual Entailment Data. CoRR (2022)
Mengzhou Xia, Zexuan Zhong, Danqi Chen
Structured Pruning Learns Compact and Accurate Models. ACL (1) (2022)
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR (2022)
Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
MABEL: Attenuating Gender Bias using Textual Entailment Data. EMNLP (2022)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
Training Trajectories of Language Models Across Scales. CoRR (2022)
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. CoRR (2022)
Mengzhou Xia, Zexuan Zhong, Danqi Chen
Structured Pruning Learns Compact and Accurate Models. CoRR (2022)
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP (2022)
Howard Chen, Mengzhou Xia, Danqi Chen
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. NAACL-HLT (2021)
Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. CoRR (2021)
Howard Chen, Mengzhou Xia, Danqi Chen
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. CoRR (2021)
Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. NAACL-HLT (2021)
Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud'hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah R. Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S. Sharma, Patrick Littell
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization. SLTU/CCURL@LREC (2020)
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
Predicting Performance for Natural Language Processing Tasks. ACL (2020)
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
Predicting Performance for Natural Language Processing Tasks. CoRR (2020)
Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud'hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah R. Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S. Sharma, Patrick Littell
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization. CoRR (2020)
Mengzhou Xia, Anjalie Field, Yulia Tsvetkov
Demoting Racial Bias in Hate Speech Detection. SocialNLP@ACL (2020)
Mengzhou Xia, Anjalie Field, Yulia Tsvetkov
Demoting Racial Bias in Hate Speech Detection. CoRR (2020)
Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi
Graph Based Translation Memory for Neural Machine Translation. AAAI (2019)
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig
Choosing Transfer Languages for Cross-Lingual Learning. CoRR (2019)
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
Domain Adaptation of Neural Machine Translation by Lexicon Induction. ACL (1) (2019)
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig
Generalized Data Augmentation for Low-Resource Translation. CoRR (2019)
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig
Choosing Transfer Languages for Cross-Lingual Learning. ACL (1) (2019)
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
Domain Adaptation of Neural Machine Translation by Lexicon Induction. CoRR (2019)
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig
Generalized Data Augmentation for Low-Resource Translation. ACL (1) (2019)