| 2026 | ACL | Infusing Theory of Mind into Socially Intelligent LLM Agents. | EunJeong Hwang, Yuwei Yin, Giuseppe Carenini, Peter West, Vered Shwartz |
| 2026 | AVI | Can Human Gaze Supervision Improve VLM Robustness to Misleading Data Visualizations? | Mir Rayat Imtiaz Hossain, Enamul Hoque, Giuseppe Carenini |
| 2026 | EACL | MIMIC: Multi-party Dialogue Augmentation via Speaker Stylistic Transfer. | Gaetano Cimino, Giuseppe Carenini, Vincenzo Deufemia |
| 2026 | EACL | BeDiscovER: The Benchmark of Discourse Understanding in the Era of Reasoning Language Models. | Chuyuan Li, Giuseppe Carenini |
| 2026 | LREC | Meta-Prompting Follow-Ups for Unsupervised Dialogue Evaluation Using Open-Source Large Language Models. | Gaetano Cimino, Chuyuan Li, Giuseppe Carenini, Vincenzo Deufemia |
| 2025 | AAAI | Evaluating LLM Reasoning in the Operations Research Domain with ORQA. | Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang |
| 2025 | ACL | Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection. | Chuyuan Li, Raymond Li, Thalia Shoshana Field, Giuseppe Carenini |
| 2025 | ACL | Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models. | Raymond Li, Chuyuan Li, Gabriel Murray, Giuseppe Carenini |
| 2025 | COLING | DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. | Raymond Li, Yuxi Feng, Zhenan Fan, Giuseppe Carenini, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang |
| 2025 | EMNLP | FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering. | Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini, Issam H. Laradji |
| 2025 | EMNLP | CEMTM: Contextual Embedding-based Multimodal Topic Modeling. | Amirhossein Abaskohi, Raymond Li, Chuyuan Li, Shafiq Joty, Giuseppe Carenini |
| 2025 | EMNLP | Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization. | Chuyuan Li, Austin Xu, Shafiq Joty, Giuseppe Carenini |
| 2025 | EMNLP | ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement. | Ali Salamatian, Amirhossein Abaskohi, Wan-Cyuan Fan, Mir Rayat Imtiaz Hossain, Leonid Sigal, Giuseppe Carenini |
| 2025 | INLG | SWI: Speaking with Intent in Large Language Models. | Yuwei Yin, Eunjeong Hwang, Giuseppe Carenini |
| 2024 | AVI | Flexible Visual Preference Inspection in Group Decision Making. | Jordon Johnson, Spencer Yao, Giuseppe Carenini, Jonathan Evans |
| 2024 | COLING | Neural Multimodal Topic Modeling: A Comprehensive Evaluation. | Felipe Gonzlez-Pizarro, Giuseppe Carenini |
| 2024 | EACL | Personalized Abstractive Summarization by Tri-agent Generation Pipeline. | Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He |
| 2024 | MMM | Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. | Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini |
| 2024 | SIGdial | Coherence-based Dialogue Discourse Structure Extraction using Open-Source Large Language Models. | Gaetano Cimino, Chuyuan Li, Giuseppe Carenini, Vincenzo Deufemia |
| 2024 | SIGdial | Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach. | Chuyuan Li, Yuwei Yin, Giuseppe Carenini |
| 2023 | ACL | Diversity-Aware Coherence Loss for Improving Neural Topic Models. | Raymond Li, Felipe Gonzlez-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini |
| 2023 | EACL | Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues. | Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chlo Braud, Giuseppe Carenini |
| 2023 | EMNLP | Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. | Raymond Li, Gabriel Murray, Giuseppe Carenini |
| 2022 | AAAI | Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. | Patrick Huber, Linzi Xing, Giuseppe Carenini |
| 2022 | ACL | PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. | Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan |
| 2022 | EMNLP | Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. | Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini |
| 2022 | NAACL | Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models. | Patrick Huber, Giuseppe Carenini |
| 2021 | AAAI | Unsupervised Learning of Discourse Structures using a Tree Autoencoder. | Patrick Huber, Giuseppe Carenini |
| 2021 | ACL | W-RST: Towards a Weighted RST-style Discourse Framework. | Patrick Huber, Wen Xiao, Giuseppe Carenini |
| 2021 | ACL | Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. | Linzi Xing, Wen Xiao, Giuseppe Carenini |
| 2021 | CVPR | An Improved Attention for Visual Question Answering. | Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini |
| 2021 | EMNLP | T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. | Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini |
| 2021 | NAACL | Predicting Discourse Trees from Transformer-based Neural Summarizers. | Wen Xiao, Patrick Huber, Giuseppe Carenini |
| 2021 | SIGdial | Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. | Linzi Xing, Giuseppe Carenini |
| 2020 | AVI | Neural Data-Driven Captioning of Time-Series Line Charts. | Andrea Spreafico, Giuseppe Carenini |
| 2020 | COLING | Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining. | Grigorii Guz, Patrick Huber, Giuseppe Carenini |
| 2020 | COLING | From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. | Patrick Huber, Giuseppe Carenini |
| 2020 | EMNLP | Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks. | Grigorii Guz, Giuseppe Carenini |
| 2020 | EMNLP | MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. | Patrick Huber, Giuseppe Carenini |
| 2020 | EMNLP | Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. | Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Z. Janjua |
| 2020 | IJCNLP | Neural RST-based Evaluation of Discourse Coherence. | Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini |
| 2020 | IJCNLP | Systematically Exploring Redundancy Reduction in Summarizing Long Documents. | Wen Xiao, Giuseppe Carenini |
| 2020 | IJCNLP | Improving Context Modeling in Neural Topic Segmentation. | Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi |
| 2020 | IUI | NJM-Vis: interpreting neural joint models in NLP. | David Johnson, Giuseppe Carenini, Gabriel Murray |
| 2019 | ACL | Discourse Analysis and Its Applications. | Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray |
| 2019 | AI | Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum. | Hyeju Jang, Young Ji Lee, Giuseppe Carenini, Raymond T. Ng, Grace Campbell, Kendall Ho |
| 2019 | EMNLP | Predicting Discourse Structure using Distant Supervision from Sentiment. | Patrick Huber, Giuseppe Carenini |
| 2019 | EMNLP | Extractive Summarization of Long Documents by Combining Global and Local Context. | Wen Xiao, Giuseppe Carenini |
| 2019 | EMNLP | Evaluating Topic Quality with Posterior Variability. | Linzi Xing, Michael J. Paul, Giuseppe Carenini |
| 2018 | COLING | NLP for Conversations: Sentiment, Summarization, and Group Dynamics. | Gabriel Murray, Giuseppe Carenini, Shafiq R. Joty |
| 2018 | ICDM | Discourse Processing and Its Applications in Text Mining. | Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray |
| 2018 | IUI | User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter. | Dereck Toker, Cristina Conati, Giuseppe Carenini |
| 2017 | AI | Domain Adaptation for Detecting Mild Cognitive Impairment. | Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini |
| 2017 | EMNLP | Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions. | Enamul Hoque, Giuseppe Carenini |
| 2017 | EMNLP | Automatic Community Creation for Abstractive Spoken Conversations Summarization. | Karan Singla, Evgeny A. Stepanov, Ali Orkan Bayer, Giuseppe Carenini, Giuseppe Riccardi |
| 2017 | IJCNLP | Chat Disentanglement: Identifying Semantic Reply Relationships with Random Forests and Recurrent Neural Networks. | Shikib Mehri, Giuseppe Carenini |
| 2017 | IUI | CQAVis: Visual Text Analytics for Community Question Answering. | Enamul Hoque, Shafiq R. Joty, Llus Mrquez, Giuseppe Carenini |
| 2017 | SIGdial | Generating and Evaluating Summaries for Partial Email Threads: Conversational Bayesian Surprise and Silver Standards. | Jordon Johnson, Vaden Masrani, Giuseppe Carenini, Raymond T. Ng |
| 2017 | SIGdial | Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis. | Bita Nejat, Giuseppe Carenini, Raymond T. Ng |
| 2016 | AAAI | What's Hot in Intelligent User Interfaces. | Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson |
| 2016 | COLING | An Interactive System for Exploring Community Question Answering Forums. | Enamul Hoque, Shafiq R. Joty, Llus Mrquez, Alberto Barrn-Cedeo, Giovanni Da San Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini |
| 2016 | COLING | Training Data Enrichment for Infrequent Discourse Relations. | Kailang Jiang, Giuseppe Carenini, Raymond T. Ng |
| 2016 | IJCAI | Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data. | Sbastien Lall, Cristina Conati, Giuseppe Carenini |
| 2016 | IUI | MultiConVis: A Visual Text Analytics System for Exploring a Collection of Online Conversations. | Enamul Hoque, Giuseppe Carenini |
| 2015 | AAAI | Towards User-Adaptive Information Visualization. | Cristina Conati, Giuseppe Carenini, Dereck Toker, Sbastien Lall |
| 2015 | IUI | ConVisIT: Interactive Topic Modeling for Exploring Asynchronous Online Conversations. | Enamul Hoque, Giuseppe Carenini |
| 2015 | IUI | Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization. | Sbastien Lall, Dereck Toker, Cristina Conati, Giuseppe Carenini |
| 2014 | ACL | Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries. | Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng |
| 2014 | CHI | Highlighting interventions and user differences: informing adaptive information visualization support. | Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, Dereck Toker, James T. Enns |
| 2014 | EMNLP | Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure. | Kelsey R. Allen, Giuseppe Carenini, Raymond T. Ng |
| 2014 | EMNLP | Abstractive Summarization of Product Reviews Using Discourse Structure. | Shima Gerani, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Bita Nejat |
| 2014 | INLG | A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships. | Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng |
| 2014 | IUI | Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking. | Dereck Toker, Ben Steichen, Matthew Gingerich, Cristina Conati, Giuseppe Carenini |
| 2014 | SIGdial | Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach. | Tatsuro Oya, Giuseppe Carenini |
| 2013 | ACL | Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis. | Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Yashar Mehdad |
| 2013 | CHI | Individual user characteristics and information visualization: connecting the dots through eye tracking. | Dereck Toker, Cristina Conati, Ben Steichen, Giuseppe Carenini |
| 2013 | IUI | User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities. | Ben Steichen, Giuseppe Carenini, Cristina Conati |
| 2013 | NAACL | Towards Topic Labeling with Phrase Entailment and Aggregation. | Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Shafiq R. Joty |
| 2013 | SIGdial | Dialogue Act Recognition in Synchronous and Asynchronous Conversations. | Maryam Tavafi, Yashar Mehdad, Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng |
| 2012 | EMNLP | A Novel Discriminative Framework for Sentence-Level Discourse Analysis. | Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng |
| 2012 | NAACL | Using the Omega Index for Evaluating Abstractive Community Detection. | Gabriel Murray, Giuseppe Carenini, Raymond T. Ng |
| 2012 | SIGIR | Methods for mining and summarizing text conversations. | Giuseppe Carenini, Gabriel Murray |
| 2011 | AAAI | User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them? | Cristina Conati, Giuseppe Carenini, Mona Harati, Dereck Toker, Nicholas FitzGerald, Anna Flagg |
| 2011 | AI | Exploiting Conversational Features to Detect High-Quality Blog Comments. | Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq R. Joty |
| 2011 | IJCAI | Unsupervised Modeling of Dialog Acts in Asynchronous Conversations. | Shafiq R. Joty, Giuseppe Carenini, Chin-Yew Lin |
| 2011 | ICWSM | Supervised Topic Segmentation of Email Conversations. | Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng |
| 2010 | EMNLP | Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails. | Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng |
| 2010 | INLG | Generating and Validating Abstracts of Meeting Conversations: a User Study. | Gabriel Murray, Giuseppe Carenini, Raymond T. Ng |
| 2010 | Interspeech | The impact of ASR on abstractive vs. extractive meeting summaries. | Gabriel Murray, Giuseppe Carenini, Raymond T. Ng |
| 2010 | IUI | Workshop on intelligent visual interfaces for text analysis. | Shixia Liu, Michelle X. Zhou, Giuseppe Carenini, Huamin Qu |
| 2010 | NAACL | Interpretation and Transformation for Abstracting Conversations. | Gabriel Murray, Giuseppe Carenini, Raymond T. Ng |
| 2009 | EMNLP | Predicting Subjectivity in Multimodal Conversations. | Gabriel Murray, Giuseppe Carenini |
| 2009 | Interspeech | Detecting subjectivity in multiparty speech. | Gabriel Murray, Giuseppe Carenini |
| 2009 | ICWSM | Regression-Based Summarization of Email Conversations. | Jan Ulrich, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng |
| 2009 | IUI | A multimedia interface for facilitating comparisons of opinions. | Giuseppe Carenini, Lucas Rizoli |
| 2008 | ACL | Summarizing Emails with Conversational Cohesion and Subjectivity. | Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou |
| 2008 | AVI | An empirical evaluation of interactive visualizations for preferential choice. | Jeanette Bautista, Giuseppe Carenini |
| 2008 | EMNLP | Summarizing Spoken and Written Conversations. | Gabriel Murray, Giuseppe Carenini |
| 2008 | INLG | Extractive vs. NLG-based Abstractive Summarization of Evaluative Text: The Effect of Corpus Controversiality. | Giuseppe Carenini, Jackie Chi Kit Cheung |
| 2007 | WWW | Summarizing email conversations with clue words. | Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou |
| 2006 | AVI | An integrated task-based framework for the design and evaluation of visualizations to support preferential choice. | Jeanette Bautista, Giuseppe Carenini |
| 2006 | EACL | Multi-Document Summarization of Evaluative Text. | Giuseppe Carenini, Raymond T. Ng, Adam Pauls |
| 2006 | IUI | Interactive multimedia summaries of evaluative text. | Giuseppe Carenini, Raymond T. Ng, Adam Pauls |
| 2005 | ITiCSE | Designing CIspace: pedagogy and usability in a learning environment for AI. | Saleema Amershi, N. Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren, David Poole |
| 2005 | KDD | Scalable discovery of hidden emails from large folders. | Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou |
| 2005 | SAC | Discovery and regeneration of hidden emails. | Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou, Ed Zwart |
| 2004 | AAAI | Exploring More Realistic Evaluation Measures for Collaborative Filtering. | Giuseppe Carenini, Rita Sharma |
| 2004 | AVI | ValueCharts: analyzing linear models expressing preferences and evaluations. | Giuseppe Carenini, John Loyd |
| 2003 | IUI | Towards more conversational and collaborative recommender systems. | Giuseppe Carenini, Jocelyin Smith, David Poole |
| 2001 | CHI | An analysis of the influence of need for cognition on dynamic queries usage. | Giuseppe Carenini |
| 2001 | ICCS | GEA: A Complete, Modular System for Generating Evaluative Arguments. | Giuseppe Carenini |
| 2001 | IJCAI | An Empirical Study of the Influence of User Tailoring on Evaluative Argument Effectiveness. | Giuseppe Carenini, Johanna D. Moore |
| 2001 | IJCAI | Generating Tailored Examples to Support Learning via Self-explanation. | Cristina Conati, Giuseppe Carenini |
| 2000 | ACL | An Empirical Study of the Influence of Argument Conciseness on Argument Effectiveness. | Giuseppe Carenini, Johanna D. Moore |
| 2000 | INLG | A Task-based Framework to Evaluate Evaluative Arguments. | Giuseppe Carenini |
| 2000 | INLG | A strategy for generating evaluative arguments. | Giuseppe Carenini, Johanna D. Moore |
| 1998 | INLG | A Principled Representation Of Attributive Descriptions For Generating Integrated Text And Information Graphics Presentations. | Nancy L. Green, Giuseppe Carenini, Johanna D. Moore |
| 1997 | IUI | Integrating Planning and Task-Based Design for Multimedia Presentation. | Stephan M. Kerpedjiev, Giuseppe Carenini, Steven F. Roth, Johanna D. Moore |
| 1995 | AIME | An Information-Based Bayesian Approach to History Taking. | Giuseppe Carenini, Stefano Monti, Gordon Banks |
| 1995 | IJCAI | Generating Explanatory Captions for Information Graphics. | Vibhu O. Mittal, Steven F. Roth, Johanna D. Moore, Joe Mattis, Giuseppe Carenini |
| 1993 | IUI | Generating explanations in context. | Giuseppe Carenini, Johanna D. Moore |