Mengzhou Xia

63 papers A* 17Journal 36Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Trans. Mach. Learn. Res.
Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin
2025 A* conf
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
ICLR
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
2025 J jnl
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving.
CoRR
Yong Lin, Shange Tang, Bohan Lyu, Jiayun Wu, Hongzhou Lin, Kaiyu Yang, Jia Li, Mengzhou Xia, Danqi Chen, Sanjeev Arora, Chi Jin
2025 J jnl
ICONS: Influence Consensus for Vision-Language Data Selection.
CoRR
Xindi Wu, Mengzhou Xia, Rulin Shao, Zhiwei Deng, Pang Wei Koh, Olga Russakovsky
2025 J jnl
Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search.
CoRR
Howard Yen, Ashwin Paranjape, Mengzhou Xia, Thejas Venkatesh, Jack Hessel, Danqi Chen, Yuhao Zhang
2025 J jnl
MMTEB: Massive Multilingual Text Embedding Benchmark.
CoRR
Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff
2025 J jnl
MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning.
CoRR
Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu
2025 A* conf
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs.
ICML
Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen
2025 J jnl
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs.
CoRR
Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen
2025 J jnl
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
CoRR
Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin
2025 J jnl
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning.
CoRR
Xinyu Zhu, Mengzhou Xia, Zhepei Wei, Wei-Lin Chen, Danqi Chen, Yu Meng
2024 A* conf
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.
ICML
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
2024 J jnl
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.
CoRR
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
2024 J jnl
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
CoRR
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
2024 A* conf
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.
ICLR
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
2024 A* conf
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.
NeurIPS
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
2024 J jnl
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.
CoRR
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
2024 A* conf
Detecting Pretraining Data from Large Language Models.
ICLR
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
2024 — conf
InstructEval: Systematic Evaluation of Instruction Selection Methods.
NAACL-HLT (Findings)
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
2024 A* conf
LESS: Selecting Influential Data for Targeted Instruction Tuning.
ICML
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen
2024 J jnl
LESS: Selecting Influential Data for Targeted Instruction Tuning.
CoRR
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen
2024 A* conf
Language Models as Science Tutors.
ICML
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
2024 J jnl
Language Models as Science Tutors.
CoRR
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
2024 A* conf
LitSearch: A Retrieval Benchmark for Scientific Literature Search.
EMNLP
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao
2024 J jnl
LitSearch: A Retrieval Benchmark for Scientific Literature Search.
CoRR
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao
2024 J jnl
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training.
CoRR
Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis
2024 A* conf
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.
ICLR
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
2024 A* conf
SimPO: Simple Preference Optimization with a Reference-Free Reward.
NeurIPS
Yu Meng, Mengzhou Xia, Danqi Chen
2024 J jnl
SimPO: Simple Preference Optimization with a Reference-Free Reward.
CoRR
Yu Meng, Mengzhou Xia, Danqi Chen
2024 A* conf
Trainable Transformer in Transformer.
ICML
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
2024 J jnl
What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety.
CoRR
Luxi He, Mengzhou Xia, Peter Henderson
2023 J jnl
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.
CoRR
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
2023 J jnl
Detecting Pretraining Data from Large Language Models.
CoRR
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
2023 J jnl
InstructEval: Systematic Evaluation of Instruction Selection Methods.
CoRR
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
2023 J jnl
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.
CoRR
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
2023 J jnl
Trainable Transformer in Transformer.
CoRR
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
2023 — conf
Training Trajectories of Language Models Across Scales.
ACL (1)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
2022 A* conf
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models.
EMNLP
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
2022 J jnl
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models.
CoRR
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
2022 A* conf
MABEL: Attenuating Gender Bias using Textual Entailment Data.
EMNLP
Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
2022 J jnl
MABEL: Attenuating Gender Bias using Textual Entailment Data.
CoRR
Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
2022 A* conf
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.
EMNLP
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov
2022 J jnl
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.
CoRR
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov
2022 — conf
Structured Pruning Learns Compact and Accurate Models.
ACL (1)
Mengzhou Xia, Zexuan Zhong, Danqi Chen
2022 J jnl
Structured Pruning Learns Compact and Accurate Models.
CoRR
Mengzhou Xia, Zexuan Zhong, Danqi Chen
2022 J jnl
Training Trajectories of Language Models Across Scales.
CoRR
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
2021 — conf
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning.
NAACL-HLT
Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah
2021 J jnl
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning.
CoRR
Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah
2021 — conf
Non-Parametric Few-Shot Learning for Word Sense Disambiguation.
NAACL-HLT
Howard Chen, Mengzhou Xia, Danqi Chen
2021 J jnl
Non-Parametric Few-Shot Learning for Word Sense Disambiguation.
CoRR
Howard Chen, Mengzhou Xia, Danqi Chen
2020 — conf
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization.
SLTU-CCURL@LREC
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
2020 J jnl
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization.
CoRR
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
2020 — conf
Demoting Racial Bias in Hate Speech Detection.
SocialNLP@ACL
Mengzhou Xia, Anjalie Field, Yulia Tsvetkov
2020 J jnl
Demoting Racial Bias in Hate Speech Detection.
CoRR
Mengzhou Xia, Anjalie Field, Yulia Tsvetkov
2020 A* conf
Predicting Performance for Natural Language Processing Tasks.
ACL
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
2020 J jnl
Predicting Performance for Natural Language Processing Tasks.
CoRR
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
2019 — conf
Choosing Transfer Languages for Cross-Lingual Learning.
ACL (1)
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
2019 J jnl
Choosing Transfer Languages for Cross-Lingual Learning.
CoRR
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
2019 — conf
Domain Adaptation of Neural Machine Translation by Lexicon Induction.
ACL (1)
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
2019 J jnl
Domain Adaptation of Neural Machine Translation by Lexicon Induction.
CoRR
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
2019 — conf
Generalized Data Augmentation for Low-Resource Translation.
ACL (1)
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig
2019 J jnl
Generalized Data Augmentation for Low-Resource Translation.
CoRR
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig
2019 A* conf
Graph Based Translation Memory for Neural Machine Translation.
AAAI
Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi