| 2026 | ACL | Distributional Alignment for Large Language Models under Domain Shift. | Viet Thanh Pham, Lizhen Qu, Zhuang Li, Gholamreza Haffari |
| 2026 | ACL | LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations. | Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu, Gholamreza Haffari, Dinh Q. Phung |
| 2026 | ACL | LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues. | Fanyu Wang, Xiaoxi Kang, Paul Burgess, Aashish Srivastava, Chetan Arora, Adnan Trakic, Lay-Ki Soon, Md Khalid Hossain, Lizhen Qu |
| 2026 | ACL | CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning. | Zhuo Wang, Zhuo Zhang, Yafu Li, Yu Cheng, Lizhen Qu, Zenglin Xu |
| 2026 | IUI | VERDICT: Visualized Evaluation and Reasoning with Dynamic IRAC-based Computational Thinking on Graph Structures. | Xiaoxi Kang, Lizhen Qu, Delvin Varghese, Lay-Ki Soon, Adnan Trakic, Zhenyang Liu |
| 2026 | PacificVis | Supporting Multimodal Data Interaction on Refreshable Tactile Displays: An Architecture to Combine Touch and Conversational AI. | Samuel Reinders, Munazza Zaib, Matthew Butler, Bongshin Lee, Ingrid Zukerman, Lizhen Qu, Kim Marriott |
| 2025 | ACL | SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models. | Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari |
| 2025 | ACL | On the Reliability of Large Language Models for Causal Discovery. | Tao Feng, Lizhen Qu, Niket Tandon, Zhuang Li, Xiaoxi Kang, Gholamreza Haffari |
| 2025 | ACL | IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data. | Tao Feng, Lizhen Qu, Niket Tandon, Gholamreza Haffari |
| 2025 | ACL | SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media. | Viet Thanh Pham, Lizhen Qu, Zhuang Li, Suraj Sharma, Gholamreza Haffari |
| 2025 | ACL | LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews. | Sukannya Purkayastha, Zhuang Li, Anne Lauscher, Lizhen Qu, Iryna Gurevych |
| 2025 | COLING | CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems. | Tao Feng, Lizhen Qu, Xiaoxi Kang, Gholamreza Haffari |
| 2025 | EMNLP | NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. | Shuo Huang, William MacLean, Xiaoxi Kang, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari, Lizhen Qu |
| 2025 | EMNLP | Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search. | Shuo Huang, Xingliang Yuan, Gholamreza Haffari, Lizhen Qu |
| 2025 | EMNLP | DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement. | Shaoqing Lin, Chong Teng, Fei Li, Donghong Ji, Lizhen Qu, Zhuang Li |
| 2025 | EMNLP | Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models. | Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari |
| 2025 | ICML | The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari |
| 2025 | IJCNLP | Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models. | Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Jinghua Wang, Qifan Wang, Lizhen Qu, Zenglin Xu |
| 2025 | NAACL | CultureInstruct: Curating Multi-Cultural Instructions at Scale. | Viet Thanh Pham, Zhuang Li, Lizhen Qu, Gholamreza Haffari |
| 2025 | NAACL | ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning. | Vy Vo, Lizhen Qu, Tao Feng, Yuncheng Hua, Xiaoxi Kang, Songhai Fan, Tim Dwyer, Lay-Ki Soon, Gholamreza Haffari |
| 2025 | NAACL | Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models. | Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari |
| 2024 | ACL | IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models. | Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, Yuncheng Hua, Gholamreza Haffari |
| 2024 | COLING | Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. | Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu |
| 2024 | CVPR | Generative Region-Language Pretraining for Open-Ended Object Detection. | Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai |
| 2024 | EACL | Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. | Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari |
| 2024 | EACL | Let's Negotiate! A Survey of Negotiation Dialogue Systems. | Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Reza Haffari |
| 2024 | EMNLP | Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction. | Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Christopher Bain, Richard Bassed, Reza Haf |
| 2024 | EMNLP | Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues. | Yuncheng Hua, Lizhen Qu, Reza Haf |
| 2024 | EMNLP | Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf |
| 2024 | EMNLP | Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. | Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf |
| 2024 | ICLR | Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. | Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu |
| 2024 | NAACL | RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. | Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Ingrid Zukerman, Lay-Ki Soon, Zhaleh Semnani-Azad, Gholamreza Haffari |
| 2023 | ACL | FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. | Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran |
| 2023 | ACL | The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning. | Zhuang Li, Lizhen Qu, Philip R. Cohen, Raj Tumuluri, Gholamreza Haffari |
| 2023 | ACL | FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. | Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu |
| 2023 | ACL | FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. | Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu |
| 2023 | EACL | Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. | Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari |
| 2023 | EACL | ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. | Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu |
| 2023 | EMNLP | FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices. | Shuo Huang, Lizhen Qu, Xingliang Yuan, Chunyang Chen |
| 2023 | EMNLP | TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce. | Tongxin Hu, Zhuang Li, Xin Jin, Lizhen Qu, Xin Zhang |
| 2023 | EMNLP | Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? | Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon, Adnan Trakic, Terry Yue Zhuo, Patrick Charles Emerton, Genevieve Grant |
| 2023 | ICDAR | Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding. | Bhanu Prakash Voutharoja, Lizhen Qu, Fatemeh Shiri |
| 2023 | ICLR | Learning Object-Language Alignments for Open-Vocabulary Object Detection. | Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai |
| 2023 | SIGIR | SocialDial: A Benchmark for Socially-Aware Dialogue Systems. | Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari |
| 2022 | COLING | Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. | Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari |
| 2022 | ECCV | Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. | Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan |
| 2022 | EMNLP | Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. | Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari |
| 2022 | EMNLP | Federated Model Decomposition with Private Vocabulary for Text Classification. | Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu |
| 2021 | ACII | Causal Relationships Between Emotions and Dialog Acts. | Shuyi Cao, Lizhen Qu, Leimin Tian |
| 2021 | ACL | Neural-Symbolic Commonsense Reasoner with Relation Predictors. | Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh |
| 2021 | EACL | On Robustness of Neural Semantic Parsers. | Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan |
| 2021 | EACL | Few-Shot Semantic Parsing for New Predicates. | Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari |
| 2021 | EMNLP | Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. | Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang |
| 2021 | EMNLP | Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers. | Zhuang Li, Lizhen Qu, Gholamreza Haffari |
| 2021 | WSDM | Privacy Monitoring Service for Conversations. | Qiongkai Xu, Chenchen Xu, Lizhen Qu |
| 2020 | CHI | Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation. | Yolande A. A. Strengers, Lizhen Qu, Qiongkai Xu, Jarrod Knibbe |
| 2020 | COLING | Context Dependent Semantic Parsing: A Survey. | Zhuang Li, Lizhen Qu, Gholamreza Haffari |
| 2020 | COLING | CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering. | Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari |
| 2020 | EMNLP | Personal Information Leakage Detection in Conversations. | Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari |
| 2019 | CIKM | Machine Reading Comprehension: Matching and Orders. | Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu |
| 2019 | EMNLP | ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. | Qiongkai Xu, Chenchen Xu, Lizhen Qu |
| 2019 | ICLR | Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. | Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu |
| 2019 | IJCNN | Deep Domain Adaptation for Vulnerable Code Function Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung |
| 2019 | INLG | Privacy-Aware Text Rewriting. | Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui |
| 2017 | ACL | Demographic Inference on Twitter using Recursive Neural Networks. | Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Ccile Paris |
| 2017 | CIKM | Attentive Graph-based Recursive Neural Network for Collective Vertex Classification. | Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu |
| 2017 | CVPR | Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. | Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu |
| 2017 | IJCAI | Automatic Generation of Grounded Visual Questions. | Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, Jiawan Zhang |
| 2016 | CoNLL | Neighborhood Mixture Model for Knowledge Base Completion. | Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson |
| 2016 | EMNLP | Named Entity Recognition for Novel Types by Transfer Learning. | Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin |
| 2016 | NAACL | STransE: a novel embedding model of entities and relationships in knowledge bases. | Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson |
| 2015 | CoNLL | Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks. | Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin |
| 2012 | EMNLP | A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts. | Lizhen Qu, Rainer Gemulla, Gerhard Weikum |
| 2011 | CIKM | Harvesting facts from textual web sources by constrained label propagation. | Yafang Wang, Bin Yang, Lizhen Qu, Marc Spaniol, Gerhard Weikum |
| 2010 | COLING | The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. | Lizhen Qu, Georgiana Ifrim, Gerhard Weikum |
| 2010 | EDBT | Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia. | Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol, Gerhard Weikum |
| 2008 | CIKM | Using tag semantic network for keyphrase extraction in blogs. | Lizhen Qu, Christof Mller, Iryna Gurevych |