| 2026 | AAAI | SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling. | Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych |
| 2026 | ACL | CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment. | Radin Shayanfar, Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu |
| 2026 | EACL | Entropy-Gated Branching for Efficient Test-Time Reasoning. | Xianzhi Li, Ethan Callanan, Abdellah Ghassel, Xiaodan Zhu |
| 2026 | EACL | Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data. | Paul Quinlan, Qingguo Li, Xiaodan Zhu |
| 2025 | AAAI | Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. | Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou |
| 2025 | ACL | Robust Utility-Preserving Text Anonymization Based on Large Language Models. | Tianyu Yang, Xiaodan Zhu, Iryna Gurevych |
| 2025 | ACL | Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs. | Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych |
| 2025 | ACL | LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models. | Marcus Tantakoun, Christian Muise, Xiaodan Zhu |
| 2025 | AI | Aligning Language Models Using Multi-Objective Deep Reinforcement Learning. | Yage Zhang, Xiaodan Zhu, Yifeng Li |
| 2025 | EMNLP | Preemptive Detection and Correction of Misaligned Actions in LLM Agents. | Haishuo Fang, Xiaodan Zhu, Iryna Gurevych |
| 2025 | EMNLP | Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback. | Chu Fei Luo, Samuel Dahan, Xiaodan Zhu |
| 2024 | ACL | DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. | Haishuo Fang, Xiaodan Zhu, Iryna Gurevych |
| 2024 | ACL | SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. | Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych |
| 2024 | EMNLP | Can Machine Unlearning Reduce Social Bias in Language Models? | Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak |
| 2024 | EMNLP | Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. | Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu |
| 2024 | EMNLP | Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. | Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu |
| 2024 | EMNLP | The State of the Art of Large Language Models on Chartered Financial Analyst Exams. | Mahmoud Mahfouz, Ethan Callanan, Mathieu Sibue, Antony Papadimitriou, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu |
| 2024 | EMNLP | Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. | Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych |
| 2024 | EMNLP | SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration. | Yuanhao Shen, Xiaodan Zhu, Lei Chen |
| 2024 | EMNLP | Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. | Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu |
| 2024 | ICLR | Ensemble Distillation for Unsupervised Constituency Parsing. | Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou |
| 2023 | ACL | Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. | Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu |
| 2023 | ACL | A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. | Rohan Bhambhoria, Lei Chen, Xiaodan Zhu |
| 2023 | ACL | Prototype-Based Interpretability for Legal Citation Prediction. | Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu |
| 2023 | ACL | Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification. | Tianqi Wang, Lei Chen, Xiaodan Zhu, Younghun Lee, Jing Gao |
| 2023 | ACL | JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. | Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan |
| 2023 | ACL | NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. | Zi'ou Zheng, Xiaodan Zhu |
| 2023 | AI | Parameter-Efficient Methods for Metastases Detection fromClinical Notes. | Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do |
| 2023 | AI | Guided Learning of Human Sensor Models with Low-Level Grounding. | Paul Quinlan, Qingguo Li, Xiaodan Zhu |
| 2023 | EMNLP | Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. | Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah |
| 2023 | EMNLP | Knowledge-Selective Pretraining for Attribute Value Extraction. | Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu |
| 2023 | EMNLP | Legally Enforceable Hate Speech Detection for Public Forums. | Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu |
| 2023 | EMNLP | OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. | Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu |
| 2023 | JURIX | OpenJustice.ai: A Global Open-Source Legal Language Model. | Samuel Dahan, Rohan Bhambhoria, David Liang, Xiaodan Zhu |
| 2023 | KDD | Robust NLP for Finance (RobustFin). | Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Zhiyu Chen |
| 2023 | SIGIR | Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. | Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta |
| 2022 | AAAI | Interpretable Low-Resource Legal Decision Making. | Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu |
| 2022 | AAAI | Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. | Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu |
| 2022 | AI | Evaluating Explanation Correctness in Legal Decision Making. | Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu |
| 2022 | EMNLP | Developing Prefix-Tuning Models for Hierarchical Text Classification. | Lei Chen, Hou Wei Chou, Xiaodan Zhu |
| 2021 | AAAI | Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. | Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu |
| 2021 | ACL | Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. | Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu |
| 2021 | ACL | Enhancing Descriptive Image Captioning with Natural Language Inference. | Zhan Shi, Hui Liu, Xiaodan Zhu |
| 2021 | ACSSC | Improving Depression Assessment With Multi-Task Learning From Speech and Text Information. | Clinton Lau, Wai-Yip Chan, Xiaodan Zhu |
| 2021 | AI | Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. | Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu |
| 2021 | AI | Enhancing Pretrained Models with Domain Knowledge. | Yufei Feng, Michael A. Greenspan, Xiaodan Zhu |
| 2021 | AI | extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. | Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu |
| 2021 | AI | Class-wise Calibration: A Case Study on COVID-19 Hate Speech. | Stephen Obadinma, Hongyu Guo, Xiaodan Zhu |
| 2021 | AI | Descriptive Image Captioning with Salient Retrieval Priors. | Zhan Shi, Hui Liu, Xiaodan Zhu |
| 2021 | CIKM | Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. | Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu |
| 2021 | EMNLP | Unsupervised Conversation Disentanglement through Co-Training. | Hui Liu, Zhan Shi, Xiaodan Zhu |
| 2021 | EMNLP | Detecting Speaker Personas from Conversational Texts. | Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2021 | EMNLP | WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge. | Weinan He, Canming Huang, Yongmei Liu, Xiaodan Zhu |
| 2021 | EMNLP | Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy. | Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng |
| 2021 | EMNLP | Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. | Zhan Shi, Hui Liu, Martin Renqiang Min, Christopher Malon, Li Erran Li, Xiaodan Zhu |
| 2021 | EMNLP | Exploring Decomposition for Table-based Fact Verification. | Xiaoyu Yang, Xiaodan Zhu |
| 2021 | ICASSP | Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. | Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu |
| 2021 | NAACL | Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. | Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu |
| 2021 | SIGIR | Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2020 | AAAI | Learning Cross-Modal Context Graph for Visual Grounding. | Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He |
| 2020 | ACL | Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment. | Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun, Xiaodan Zhu |
| 2020 | ACL | Dynamic Memory Induction Networks for Few-Shot Text Classification. | Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu |
| 2020 | ACL | Improving Image Captioning with Better Use of Caption. | Zhan Shi, Xu Zhou, Xipeng Qiu, Xiaodan Zhu |
| 2020 | AI | Exploring Deep Anomaly Detection Methods Based on Capsule Net. | Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li |
| 2020 | CIKM | Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu |
| 2020 | COLING | Exploring End-to-End Differentiable Natural Logic Modeling. | Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu |
| 2020 | EMNLP | Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2020 | EMNLP | Program Enhanced Fact Verification with Verbalization and Graph Attention Network. | Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2020 | ICIP | Multi-Modal Fusion With Observation Points For Skeleton Action Recognition. | Iqbal Singh, Xiaodan Zhu, Michael A. Greenspan |
| 2020 | IJCAI | End-to-End Transition-Based Online Dialogue Disentanglement. | Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu |
| 2020 | IJCNN | Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. | Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li |
| 2020 | IJCNN | Capsule Deep Generative Model That Forms Parse Trees. | Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi |
| 2019 | AI | Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. | Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng |
| 2019 | EMNLP | Induction Networks for Few-Shot Text Classification. | Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun |
| 2019 | EMNLP | Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu |
| 2019 | ICANN | Capsule Generative Models. | Yifeng Li, Xiaodan Zhu |
| 2019 | NAACL | Deep Learning for Natural Language Inference. | Samuel R. Bowman, Xiaodan Zhu |
| 2018 | ACL | Neural Natural Language Inference Models Enhanced with External Knowledge. | Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei |
| 2018 | COLING | Enhancing Sentence Embedding with Generalized Pooling. | Qian Chen, Zhen-Hua Ling, Xiaodan Zhu |
| 2018 | IJCNN | Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. | Yifeng Li, Xiaodan Zhu |
| 2018 | INFOCOM | DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics. | Xukan Ran, Haoliang Chen, Xiaodan Zhu, Zhenming Liu, Jiasi Chen |
| 2018 | SIGMOD | QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. | Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang |
| 2017 | ACL | Enhanced LSTM for Natural Language Inference. | Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen |
| 2017 | ACL | Deep Learning for Semantic Composition. | Xiaodan Zhu, Edward Grefenstette |
| 2017 | EACL | A Dataset for Multi-Target Stance Detection. | Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu |
| 2017 | IJCAI | Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. | Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu |
| 2016 | COLING | Extracting Discriminative Keyphrases with Learned Semantic Hierarchies. | Yunli Wang, Yong Jin, Xiaodan Zhu, Cyril Goutte |
| 2016 | IJCAI | Distraction-Based Neural Networks for Modeling Document. | Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang |
| 2016 | LREC | A Dataset for Detecting Stance in Tweets. | Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry |
| 2016 | NAACL | DAG-Structured Long Short-Term Memory for Semantic Compositionality. | Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo |
| 2015 | ACL | Revisiting Word Embedding for Contrasting Meaning. | Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, Xiaodan Zhu |
| 2015 | ICML | Long Short-Term Memory Over Recursive Structures. | Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo |
| 2015 | IJCNN | Parallel algorithms for a neurodynamic optimization system realized on GPU and applied to recovering compressively sensed signals. | Xiaodan Zhu, Chengan Guo |
| 2014 | ACL | An Empirical Study on the Effect of Negation Words on Sentiment. | Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko |
| 2014 | EACL | Bilingual Sentiment Consistency for Statistical Machine Translation. | Boxing Chen, Xiaodan Zhu |
| 2012 | CHI | An ecologically valid evaluation of speech summarization. | Anthony McCallum, Cosmin Munteanu, Gerald Penn, Xiaodan Zhu |
| 2012 | NAACL | Ecological Validity and the Evaluation of Speech Summarization Quality. | Anthony McCallum, Cosmin Munteanu, Gerald Penn, Xiaodan Zhu |
| 2011 | CoNLL | A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents. | Xiaodan Zhu |
| 2011 | IJCNLP | Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree-to-string Alignment Models. | Xiaodan Zhu, Colin Cherry, Gerald Penn |
| 2010 | COLING | Imposing Hierarchical Browsing Structures onto Spoken Documents. | Xiaodan Zhu, Colin Cherry, Gerald Penn |
| 2009 | ACL | Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data. | Cosmin Munteanu, Gerald Penn, Xiaodan Zhu |
| 2009 | ACL | Summarizing multiple spoken documents: finding evidence from untranscribed audio. | Xiaodan Zhu, Gerald Penn, Frank Rudzicz |
| 2008 | ACL | A Critical Reassessment of Evaluation Baselines for Speech Summarization. | Gerald Penn, Xiaodan Zhu |
| 2008 | Interspeech | Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. | Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn |
| 2006 | AMIA | Using Outcome Polarity in Sentence Extraction for Medical Question-Answering. | Yun Niu, Xiaodan Zhu, Graeme Hirst |
| 2006 | Interspeech | Summarization of spontaneous conversations. | Xiaodan Zhu, Gerald Penn |
| 2006 | NAACL | Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization. | Xiaodan Zhu, Gerald Penn |
| 2005 | AMIA | Analysis of Polarity Information in Medical Text. | Yun Niu, Xiaodan Zhu, Jianhua Li, Graeme Hirst |