| 2026 | ACL | CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics. | Ming-Bin Chen, Jey Han Lau, Lea Frermann |
| 2026 | ACL | Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning. | Yanbei Jiang, Amr Keleg, Ryandito Diandaru, Jey Han Lau, Lea Frermann, Biaoyan Fang, Fajri Koto |
| 2026 | EACL | On the Interplay between Human Label Variation and Model Fairness. | Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau |
| 2026 | EACL | FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation. | Yulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra, Zenan Zhai, Rongxin Zhu, Daniel Beck, Jey Han Lau |
| 2026 | EACL | COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations. | Rui Xing, Preslav Nakov, Timothy Baldwin, Jey Han Lau |
| 2025 | ACL | Moderation Matters: Measuring Conversational Moderation Impact in English as a Second Language Group Discussion. | Rena Wei Gao, Ming-Bin Chen, Lea Frermann, Jey Han Lau |
| 2025 | ACL | Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases. | Rena Wei Gao, Xuetong Wu, Tatsuki Kuribayashi, Mingrui Ye, Siya Qi, Carsten Roever, Yuanxing Liu, Zheng Yuan, Jey Han Lau |
| 2025 | ACL | Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task. | Yanbei Jiang, Yihao Ding, Chao Lei, Jiayang Ao, Jey Han Lau, Krista A. Ehinger |
| 2025 | ACL | Decomposed Opinion Summarization with Verified Aspect-Aware Modules. | Miao Li, Jey Han Lau, Eduard H. Hovy, Mirella Lapata |
| 2025 | ACL | WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks. | Anudeex Shetty, Qiongkai Xu, Jey Han Lau |
| 2025 | COLING | Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations. | Rena Gao, Carsten Roever, Jey Han Lau |
| 2025 | COLING | Factual Dialogue Summarization via Learning from Large Language Models. | Rongxin Zhu, Jey Han Lau, Jianzhong Qi |
| 2025 | EMNLP | Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation. | Shengxiang Gao, Jey Han Lau, Jianzhong Qi |
| 2025 | NAACL | WHoW: A Cross-domain Approach for Analysing Conversation Moderation. | Ming-Bin Chen, Lea Frermann, Jey Han Lau |
| 2025 | NAACL | An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues. | Rena Gao, Xuetong Wu, Carsten Roever, Jing Wu, Long Lv, Jingxuan Wu, Jey Han Lau |
| 2025 | NAACL | Evaluating Evidence Attribution in Generated Fact Checking Explanations. | Rui Xing, Timothy Baldwin, Jey Han Lau |
| 2024 | ACL | A Sentiment Consolidation Framework for Meta-Review Generation. | Miao Li, Jey Han Lau, Eduard H. Hovy |
| 2024 | EACL | CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2024 | IJCAI | KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph. | Yanbei Jiang, Krista A. Ehinger, Jey Han Lau |
| 2023 | AAAI | Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization. | Miao Li, Jianzhong Qi, Jey Han Lau |
| 2023 | ACL | Unsupervised Paraphrasing of Multiword Expressions. | Takashi Wada, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau |
| 2023 | ACL | Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization. | Rongxin Zhu, Jianzhong Qi, Jey Han Lau |
| 2023 | EACL | Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. | Zijian Zhang, Chang Shu, Ya Xiao, Yuan Shen, Di Zhu, Youxin Chen, Jing Xiao, Jey Han Lau, Qian Zhang, Zheng Lu |
| 2023 | EMNLP | Unsupervised Lexical Simplification with Context Augmentation. | Takashi Wada, Timothy Baldwin, Jey Han Lau |
| 2023 | EMNLP | Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation. | Miao Li, Eduard H. Hovy, Jey Han Lau |
| 2023 | EMNLP | DeltaScore: Fine-Grained Story Evaluation with Perturbations. | Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau |
| 2023 | INLG | The Next Chapter: A Study of Large Language Models in Storytelling. | Zhuohan Xie, Trevor Cohn, Jey Han Lau |
| 2023 | WWW | MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2022 | ACL | The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature. | Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Jey Han Lau |
| 2022 | ACL | One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. | Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, Sebastian Ruder |
| 2022 | ACL | An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. | Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau |
| 2022 | COLING | Unsupervised Lexical Substitution with Decontextualised Embeddings. | Takashi Wada, Timothy Baldwin, Yuji Matsumoto, Jey Han Lau |
| 2022 | COLING | LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. | Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau |
| 2022 | COLING | LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization. | Fajri Koto, Timothy Baldwin, Jey Han Lau |
| 2022 | EMNLP | M3: Multi-level dataset for Multi-document summarisation of Medical studies. | Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Antonio Jimeno-Yepes, Jey Han Lau |
| 2022 | EMNLP | Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. | Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani |
| 2022 | IJCNLP | Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. | Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor |
| 2022 | NAACL | DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2021 | ACL | Evaluating the Efficacy of Summarization Evaluation across Languages. | Fajri Koto, Jey Han Lau, Timothy Baldwin |
| 2021 | EACL | Top-down Discourse Parsing via Sequence Labelling. | Fajri Koto, Jey Han Lau, Timothy Baldwin |
| 2021 | ECIR | Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research. | Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martnez |
| 2021 | EMNLP | IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization. | Fajri Koto, Jey Han Lau, Timothy Baldwin |
| 2021 | IJCAI | UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. | Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau |
| 2021 | NAACL | Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism. | Shraey Bhatia, Jey Han Lau, Timothy Baldwin |
| 2021 | NAACL | Discourse Probing of Pretrained Language Models. | Fajri Koto, Jey Han Lau, Timothy Baldwin |
| 2021 | NAACL | Grey-box Adversarial Attack And Defence For Sentiment Classification. | Ying Xu, Xu Zhong, Antonio Jimeno-Yepes, Jey Han Lau |
| 2020 | ACL | Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? | Kobi Leins, Jey Han Lau, Timothy Baldwin |
| 2020 | CIKM | #DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2020 | COLING | IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. | Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin |
| 2020 | IJCNLP | Liputan6: A Large-scale Indonesian Dataset for Text Summarization. | Fajri Koto, Jey Han Lau, Timothy Baldwin |
| 2020 | IJCNN | Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. | Ying Xu, Xu Zhong, Antonio Jos Jimeno-Yepes, Jey Han Lau |
| 2019 | ICDM | Discovering Relevant Reviews for Answering Product-Related Queries. | Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Ccile Paris |
| 2019 | NAACL | Early Rumour Detection. | Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau |
| 2018 | ACL | Deep-speare: A joint neural model of poetic language, meter and rhyme. | Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond |
| 2018 | ACL | The Influence of Context on Sentence Acceptability Judgements. | Jean-Philippe Bernardy, Shalom Lappin, Jey Han Lau |
| 2018 | EDM | Document Chunking and Learning Objective Generation for Instruction Design. | Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania |
| 2018 | EMNLP | Topic Intrusion for Automatic Topic Model Evaluation. | Shraey Bhatia, Jey Han Lau, Timothy Baldwin |
| 2017 | ACL | Topically Driven Neural Language Model. | Jey Han Lau, Timothy Baldwin, Trevor Cohn |
| 2017 | CoNLL | An Automatic Approach for Document-level Topic Model Evaluation. | Shraey Bhatia, Jey Han Lau, Timothy Baldwin |
| 2017 | EACL | Multimodal Topic Labelling. | Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin |
| 2017 | IJCNLP | End-to-end Network for Twitter Geolocation Prediction and Hashing. | Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn |
| 2017 | WWW | Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. | Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe |
| 2016 | ACL | LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. | Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond |
| 2016 | COLING | Automatic Labelling of Topics with Neural Embeddings. | Shraey Bhatia, Jey Han Lau, Timothy Baldwin |
| 2016 | NAACL | The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. | Jey Han Lau, Timothy Baldwin |
| 2015 | ACL | Unsupervised Prediction of Acceptability Judgements. | Jey Han Lau, Alexander Clark, Shalom Lappin |
| 2015 | CIKM | TM 2015 - Topic Models: Post-Processing and Applications Workshop. | Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson |
| 2014 | ACL | Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models. | Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella, Timothy Baldwin |
| 2014 | CogSci | Measuring Gradience in Speakers' Grammaticality Judgements. | Jey Han Lau, Alexander Clark, Shalom Lappin |
| 2014 | COLING | Novel Word-sense Identification. | Paul Cook, Jey Han Lau, Diana McCarthy, Timothy Baldwin |
| 2014 | EACL | Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. | Jey Han Lau, David Newman, Timothy Baldwin |
| 2013 | IJCNLP | Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian. | Meladel Mistica, Jey Han Lau, Timothy Baldwin |
| 2012 | COLING | On-line Trend Analysis with Topic Models: \#twitter Trends Detection Topic Model Online. | Jey Han Lau, Nigel Collier, Timothy Baldwin |
| 2012 | COLING | Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. | David Newman, Nagendra Koilada, Jey Han Lau, Timothy Baldwin |
| 2012 | EACL | Word Sense Induction for Novel Sense Detection. | Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin |
| 2011 | ACL | Automatic Labelling of Topic Models. | Jey Han Lau, Karl Grieser, David Newman, Timothy Baldwin |
| 2010 | COLING | Best Topic Word Selection for Topic Labelling. | Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin |
| 2010 | NAACL | Automatic Evaluation of Topic Coherence. | David Newman, Jey Han Lau, Karl Grieser, Timothy Baldwin |