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ORCIDMengzhou Xia
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2020 – today
- 2024
[c22]Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen:
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. ICLR 2024- [c21]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 - [c20]Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen:
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. ICLR 2024 - [c19]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:
Language Models as Science Tutors. ICML 2024 - [c18]Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora:
Trainable Transformer in Transformer. ICML 2024 - [c17]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. ICML 2024 - [c16]Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen:
LESS: Selecting Influential Data for Targeted Instruction Tuning. ICML 2024 - [c15]Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. NAACL-HLT (Findings) 2024: 4336-4350 - [i27]Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen:
LESS: Selecting Influential Data for Targeted Instruction Tuning. CoRR abs/2402.04333 (2024) - [i26]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 abs/2402.05162 (2024) - [i25]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 abs/2402.11111 (2024) - [i24]Luxi He, Mengzhou Xia, Peter Henderson:
What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety. CoRR abs/2404.01099 (2024) - [i23]Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis:
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training. CoRR abs/2405.03133 (2024) - [i22]Yu Meng, Mengzhou Xia, Danqi Chen:
SimPO: Simple Preference Optimization with a Reference-Free Reward. CoRR abs/2405.14734 (2024) - [i21]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 abs/2406.18521 (2024) - [i20]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 abs/2407.12883 (2024) - [i19]Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao:
LitSearch: A Retrieval Benchmark for Scientific Literature Search. CoRR abs/2407.18940 (2024) - 2023
- [c14]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: 13711-13738 - [i18]Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR abs/2307.00259 (2023) - [i17]Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora:
Trainable Transformer in Transformer. CoRR abs/2307.01189 (2023) - [i16]Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen:
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. CoRR abs/2310.06694 (2023) - [i15]Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen:
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. CoRR abs/2310.06987 (2023) - [i14]Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer:
Detecting Pretraining Data from Large Language Models. CoRR abs/2310.16789 (2023) - 2022
- [c13]Mengzhou Xia, Zexuan Zhong, Danqi Chen:
Structured Pruning Learns Compact and Accurate Models. ACL (1) 2022: 1513-1528 - [c12]Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe:
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. EMNLP 2022: 7508-7520 - [c11]Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen:
MABEL: Attenuating Gender Bias using Textual Entailment Data. EMNLP 2022: 9681-9702 - [c10]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP 2022: 11351-11361 - [i13]Mengzhou Xia, Zexuan Zhong, Danqi Chen:
Structured Pruning Learns Compact and Accurate Models. CoRR abs/2204.00408 (2022) - [i12]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR abs/2205.15223 (2022) - [i11]Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe:
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. CoRR abs/2210.14803 (2022) - [i10]Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen:
MABEL: Attenuating Gender Bias using Textual Entailment Data. CoRR abs/2210.14975 (2022) - [i9]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 abs/2212.09803 (2022) - 2021
- [c9]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: 499-511 - [c8]Howard Chen, Mengzhou Xia, Danqi Chen:
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. NAACL-HLT 2021: 1774-1781 - [i8]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. CoRR abs/2104.07908 (2021) - [i7]Howard Chen, Mengzhou Xia, Danqi Chen:
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. CoRR abs/2104.12677 (2021) - 2020
- [c7]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. ACL 2020: 8625-8646 - [c6]Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. SocialNLP@ACL 2020: 7-14 - [c5]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: 342-351 - [i6]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 abs/2004.13203 (2020) - [i5]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. CoRR abs/2005.00870 (2020) - [i4]Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. CoRR abs/2005.12246 (2020)
2010 – 2019
- 2019
- [c4]Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi:
Graph Based Translation Memory for Neural Machine Translation. AAAI 2019: 7297-7304 - [c3]Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. ACL (1) 2019: 2989-3001 - [c2]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: 3125-3135 - [c1]Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig:
Generalized Data Augmentation for Low-Resource Translation. ACL (1) 2019: 5786-5796 - [i3]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 abs/1905.12688 (2019) - [i2]Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. CoRR abs/1906.00376 (2019) - [i1]Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig:
Generalized Data Augmentation for Low-Resource Translation. CoRR abs/1906.03785 (2019)
Coauthor Index
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last updated on 2024-09-13 00:36 CEST by the dblp team
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