Xuanli He

According to our database, Xuanli He authored at least 53 papers between 2017 and 2024.

Collaborative distances:

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

2024

SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks.

Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

Trans. Assoc. Comput. Linguistics, 2024

An Auditing Test To Detect Behavioral Shift in Language Models.

Leo Richter, Xuanli He, Pasquale Minervini, Matt J. Kusner

CoRR, 2024

Analysing the Residual Stream of Language Models Under Knowledge Conflicts.

Yu Zhao, Xiaotang Du, Giwon Hong, Aryo Pradipta Gema, Alessio Devoto, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

CoRR, 2024

Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering.

Yu Zhao, Alessio Devoto, Giwon Hong, Xiaotang Du, Aryo Pradipta Gema, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

CoRR, 2024

Are We Done with MMLU?

Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini

CoRR, 2024

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.

David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba O. Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Chukwuneke, Happy Buzaaba, Blessing K. Sibanda, Godson Kalipe, Jonathan Mukiibi, Salomon Kabongo, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Shamsuddeen Hassan Muhammad, Salomey Osei, Sokhar Samb, Tadesse Kebede Guge, Pontus Stenetorp

CoRR, 2024

Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.

Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2024

Attacks on Third-Party APIs of Large Language Models.

Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

CoRR, 2024

The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models.

Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini

CoRR, 2024

Backdoor Attack on Multilingual Machine Translation.

Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation.

Aditya Desu, Xuanli He, Qiongkai Xu, Wei Lu

CoRR, 2024

Backdoor Attacks on Multilingual Machine Translation.

Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages.

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin P. Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Sakayo Toadoum Sari, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Ochieng', Verrah Otiende, Chinedu E. Mbonu, Yao Lu, Pontus Stenetorp

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Using Natural Language Explanations to Improve Robustness of In-context Learning.

Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge.

Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu

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

2023

AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages.

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Marek Masiak, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Aremu Anuoluwapo, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Tosin P. Adewumi, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu, Sakayo Toadoum Sari, Pontus Stenetorp

CoRR, 2023

Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.

Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp

CoRR, 2023

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.

Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin

CoRR, 2023

IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks.

Xuanli He, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2023

Koala: An Index for Quantifying Overlaps with Pre-training Corpora.

Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation.

Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can Knowledge Graphs Simplify Text?

Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Round-Trip Translation for Machine Translation Evaluation.

Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text.

Diego Mollá, Haolan Zhan, Xuanli He, Qiongkai Xu

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022

Context-aware Natural Language Understanding and Generation.

Xuanli He

PhD thesis, 2022

Generate, Annotate, and Learn: NLP with Synthetic Text.

Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi

Trans. Assoc. Comput. Linguistics, 2022

Rethinking Round-trip Translation for Automatic Machine Translation Evaluation.

Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn

CoRR, 2022

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?

Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari

Proceedings of the Seventh Conference on Machine Translation, 2022

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks.

Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Foiling Training-Time Attacks on Neural Machine Translation Systems.

Jun Wang, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Extracted BERT Model Leaks More Information than You Think!

Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu

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

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs.

Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark.

Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Finite groups with n-embedded subgroups.

Qinghong Guo, Xuanli He, Muhong Huang

Int. J. Algebra Comput., 2021

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning.

Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi

CoRR, 2021

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs.

Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari

CoRR, 2021

Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation.

Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi

CoRR, 2021

Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs.

Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun

CoRR, 2021

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!

Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu

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

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection.

Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Towards Differentially Private Text Representations.

Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness.

Lingjuan Lyu, Xuanli He, Yitong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Scene Graph Modification Based on Natural Language Commands.

Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation.

Xuanli He, Gholamreza Haffari, Mohammad Norouzi

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

2019

Fog-Embedded Deep Learning for the Internet of Things.

Lingjuan Lyu, James C. Bezdek, Xuanli He, Jiong Jin

IEEE Trans. Ind. Informatics, 2019

A Pointer Network Architecture for Context-Dependent Semantic Parsing.

Xuanli He, Quan Hung Tran, Gholamreza Haffari

Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018

Privacy-preserving collaborative fuzzy clustering.

Lingjuan Lyu, James C. Bezdek, Yee Wei Law, Xuanli He, Marimuthu Palaniswami

Data Knowl. Eng., 2018

Sequence to Sequence Mixture Model for Diverse Machine Translation.

Xuanli He, Gholamreza Haffari, Mohammad Norouzi

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation.

Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari

Proceedings of the Australasian Language Technology Association Workshop 2018, 2018

2017

Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering.

Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami

IEEE Internet Things J., 2017

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation.

Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari

Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition.

Lingjuan Lyu, Xuanli He, Yee Wei Law, Marimuthu Palaniswami

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017