Mengzhou Xia

According to our database, Mengzhou Xia authored at least 29 papers between 2019 and 2024.

Collaborative distances:

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

2024

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

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

CoRR, 2024

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

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

CoRR, 2024

SimPO: Simple Preference Optimization with a Reference-Free Reward.

Yu Meng, Mengzhou Xia, Danqi Chen

CoRR, 2024

Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training.

Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis

CoRR, 2024

What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety.

Luxi He, Mengzhou Xia, Peter Henderson

CoRR, 2024

Language Models as Science Tutors.

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

CoRR, 2024

InstructEval: Systematic Evaluation of Instruction Selection Methods.

Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

LESS: Selecting Influential Data for Targeted Instruction Tuning.

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.

Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Trainable Transformer in Transformer.

Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Models as Science Tutors.

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 Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Detecting Pretraining Data from Large Language Models.

Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.

Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LitSearch: A Retrieval Benchmark for Scientific Literature Search.

Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

2022

Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.

Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models.

Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MABEL: Attenuating Gender Bias using Textual Entailment Data.

Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Structured Pruning Learns Compact and Accurate Models.

Mengzhou Xia, Zexuan Zhong, Danqi Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning.

Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Non-Parametric Few-Shot Learning for Word Sense Disambiguation.

Howard Chen, Mengzhou Xia, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization.

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

Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages and Collaboration and Computing for Under-Resourced Languages, 2020

Predicting Performance for Natural Language Processing Tasks.

Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Demoting Racial Bias in Hate Speech Detection.

Mengzhou Xia, Anjalie Field, Yulia Tsvetkov

Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019

Generalized Data Augmentation for Low-Resource Translation.

Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Choosing Transfer Languages for Cross-Lingual Learning.

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Domain Adaptation of Neural Machine Translation by Lexicon Induction.

Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Graph Based Translation Memory for Neural Machine Translation.

Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019