Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition. - Lingjuan Lyu; Xuanli He; Yee Wei Law; Marimuthu Palaniswami (CIKM, 2017)

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. - Ekaterina Vylomova; Trevor Cohn; Xuanli He; Gholamreza Haffari (SWCN@EMNLP, 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)

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 (ALTA, 2018)

Sequence to Sequence Mixture Model for Diverse Machine Translation. - Xuanli He; Gholamreza Haffari; Mohammad Norouzi 002 (CoNLL, 2018)

Privacy-preserving collaborative fuzzy clustering. - Lingjuan Lyu; James C. Bezdek; Yee Wei Law; Xuanli He; Marimuthu Palaniswami (Data Knowl. Eng., 2018)

A Pointer Network Architecture for Context-Dependent Semantic Parsing. - Xuanli He; Quan Hung Tran; Gholamreza Haffari (ALTA, 2019)

Fog-Embedded Deep Learning for the Internet of Things. - Lingjuan Lyu; James C. Bezdek; Xuanli He; Jiong Jin (IEEE Trans. Ind. Informatics, 2019)

Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation. - Xuanli He; Gholamreza Haffari; Mohammad Norouzi 002 (ACL, 2020)

Scene Graph Modification Based on Natural Language Commands. - Xuanli He; Quan Hung Tran; Gholamreza Haffari; Walter Chang; Zhe Lin 001; Trung Bui; Franck Dernoncourt; Nhan Dam (EMNLP (Findings), 2020)

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. - Lingjuan Lyu; Xuanli He; Yitong Li 002 (EMNLP (Findings), 2020)

Towards Differentially Private Text Representations. - Lingjuan Lyu; Yitong Li 002; Xuanli He; Tong Xiao (SIGIR, 2020)

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. - Thuy-Trang Vu; Xuanli He; Dinh Q. Phung; Gholamreza Haffari (EMNLP (1), 2021)

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! - Xuanli He; Lingjuan Lyu; Lichao Sun 001; Qiongkai Xu (NAACL-HLT, 2021)

Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. - Lingjuan Lyu; Xuanli He; Fangzhao Wu; Lichao Sun 001 (CoRR, 2021)

Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation. - Xuanli He; Islam Nassar; Jamie Kiros; Gholamreza Haffari; Mohammad Norouzi 002 (CoRR, 2021)

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs. - Qiongkai Xu; Xuanli He; Lingjuan Lyu; Lizhen Qu; Gholamreza Haffari (CoRR, 2021)

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. - Xuanli He; Iman Keivanloo; Yi Xu 011; Xiang He; Belinda Zeng; Santosh Rajagopalan; Trishul Chilimbi (CoRR, 2021)

Finite groups with n-embedded subgroups. - Qinghong Guo; Xuanli He; Muhong Huang (Int. J. Algebra Comput., 2021)

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. - Xuanli He; Qiongkai Xu; Lingjuan Lyu; Fangzhao Wu; Chenguang Wang 001 (AAAI, 2022)

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. - Qiongkai Xu; Xuanli He; Lingjuan Lyu; Lizhen Qu; Gholamreza Haffari (COLING, 2022)

Extracted BERT Model Leaks More Information than You Think! - Xuanli He; Lingjuan Lyu; Chen Chen 043; Qiongkai Xu (EMNLP, 2022)

Foiling Training-Time Attacks on Neural Machine Translation Systems. - Jun Wang 126; Xuanli He; Benjamin I. P. Rubinstein; Trevor Cohn (EMNLP (Findings), 2022)

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. - Xuanli He; Qiongkai Xu; Yi Zeng 005; Lingjuan Lyu; Fangzhao Wu; Jiwei Li 001; Ruoxi Jia 001 (NeurIPS, 2022)

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? - Thuy-Trang Vu; Shahram Khadivi; Xuanli He; Dinh Phung 001; Gholamreza Haffari (WMT, 2022)

Rethinking Round-trip Translation for Automatic Machine Translation Evaluation. - Terry Yue Zhuo; Qiongkai Xu; Xuanli He; Trevor Cohn (CoRR, 2022)

Generate, Annotate, and Learn: NLP with Synthetic Text. - Xuanli He; Islam Nassar; Jamie Kiros; Gholamreza Haffari; Mohammad Norouzi 002 (Trans. Assoc. Comput. Linguistics, 2022)

Context-aware Natural Language Understanding and Generation. - Xuanli He (2022)

Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text. - Diego Mollá; Haolan Zhan; Xuanli He; Qiongkai Xu (ALTA, 2023)

Rethinking Round-Trip Translation for Machine Translation Evaluation. - Terry Yue Zhuo; Qiongkai Xu; Xuanli He; Trevor Cohn (ACL (Findings), 2023)

Can Knowledge Graphs Simplify Text? - Anthony M. Colas; Haodi Ma; Xuanli He; Yang Bai; Daisy Zhe Wang (CIKM, 2023)

Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. - Xuanli He; Qiongkai Xu; Jun Wang 126; Benjamin I. P. Rubinstein; Trevor Cohn (EMNLP, 2023)

Koala: An Index for Quantifying Overlaps with Pre-training Corpora. - Thuy-Trang Vu; Xuanli He; Gholamreza Haffari; Ehsan Shareghi (EMNLP (Demos), 2023)

IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks. - Xuanli He; Jun Wang 126; Benjamin I. P. Rubinstein; Trevor Cohn (CoRR, 2023)

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities. - Maximilian Mozes; Xuanli He; Bennett Kleinberg; Lewis D. Griffin (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)

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; et al. (CoRR, 2023)

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge. - Ansh Arora; Xuanli He; Maximilian Mozes; Srinibas Swain; Mark Dras; Qiongkai Xu (ACL (Findings), 2024)

Using Natural Language Explanations to Improve Robustness of In-context Learning. - Xuanli He; Yuxiang Wu; Oana-Maria Camburu; Pasquale Minervini; Pontus Stenetorp (ACL (1), 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; et al. (NAACL-HLT, 2024)

Backdoor Attacks on Multilingual Machine Translation. - Jun Wang 126; Qiongkai Xu; Xuanli He; Benjamin I. P. Rubinstein; Trevor Cohn (NAACL-HLT, 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 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

Backdoor Attack on Multilingual Machine Translation. - Jun Wang 126; Qiongkai Xu; Xuanli He; Benjamin I. P. Rubinstein; Trevor Cohn (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 043; Laura Perez-Beltrachini; Max Ryabinin; Xuanli He; Clémentine Fourrier; Pasquale Minervini (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)

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)

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; et al. (CoRR, 2024)

Analysing the Residual Stream of Language Models Under Knowledge Conflicts. - Yu Zhao 043; Xiaotang Du; Giwon Hong; Aryo Pradipta Gema; Alessio Devoto; Hongru Wang 003; Xuanli He; Kam-Fai Wong; Pasquale Minervini (CoRR, 2024)

Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution. - Yao Tong; Weijun Li 003; Xuanli He; Haolan Zhan; Qiongkai Xu (CoRR, 2024)

SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks. - Xuanli He; Qiongkai Xu; Jun Wang 126; Benjamin I. P. Rubinstein; Trevor Cohn (Trans. Assoc. Comput. Linguistics, 2024)

Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation. - Aditya Desu; Xuanli He; Qiongkai Xu; Wei Lu 011 (Trans. Mach. Learn. Res., 2024)

TUBA: 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 (ACL (Findings), 2025)

An Auditing Test to Detect Behavioral Shift in Language Models. - Leo Richter; Xuanli He; Pasquale Minervini; Matt J. Kusner (ICLR, 2025)

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 Oluwadara Alabi; Xuanli He; Millicent Ochieng; Sara Hooker; Andiswa Bukula; En-Shiun Annie Lee; Chiamaka Ijeoma Chukwuneke; Happy Buzaaba; et al. (NAACL (Long Papers), 2025)

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 043; Xiaotang Du; Mohammad Reza Ghasemi Madani; Claire Barale; Robert McHardy; et al. (NAACL (Long Papers), 2025)

Self-Training Large Language Models for Tool-Use Without Demonstrations. - Ne Luo; Aryo Pradipta Gema; Xuanli He; Emile van Krieken; Pietro Lesci; Pasquale Minervini (NAACL (Findings), 2025)

Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering. - Yu Zhao 043; Alessio Devoto; Giwon Hong; Xiaotang Du; Aryo Pradipta Gema; Hongru Wang 003; Xuanli He; Kam-Fai Wong; Pasquale Minervini (NAACL (Long Papers), 2025)

Defending Deep Neural Networks against Backdoor Attacks via Module Switching. - Weijun Li 003; Ansh Arora; Xuanli He; Mark Dras; Qiongkai Xu (CoRR, 2025)

GRADA: Graph-based Reranker against Adversarial Documents Attack. - Jingjie Zheng; Aryo Pradipta Gema; Giwon Hong; Xuanli He; Pasquale Minervini; Youcheng Sun; Qiongkai Xu (CoRR, 2025)