HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations, Anthony Sicilia, Malihe ALikhani, EACL 2024.

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Soda: Million-scale dialogue distillation with social commonsense contextualization, Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Peter West, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi, EMNLP 2023.

** Outstanding  paper award**

Learning To Generate Equitable Text in Dialogue from Biased Training Data,  Anthony Sicilia, Malihe Alikhani, ACL 2023.

Learning Multimodal Cues of Children’s Uncertainty, Qi Cheng, Mert Inan, Rahma Mbarki, Grace Grmek, Theresa Choi, Yiming Sun, Kimele Persaud, Jenny Wang, Malihe Alikhani, Sigdial 2023.

How Old is GPT? The HumBEL Framework for Evaluating Language Models using Human Demographic Data,  Anthony Sicilia, Jennifer C. Gates, Malihe Alikhani.

D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias,  Sabit Hassan, Malihe Alikhani, ACL 2023.

MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations,  Yan Wang, Heidi Ann Scharf Donovan, Sabit Hassan, Mailhe Alikhani, ACL 2023.

Image–text coherence and its implications for multimodal AI,   Malihe Alikhani, Baber Khalid, Matthew Stone, Frontiers in Artificial Intelligence, 2023.

How people talk about each other: Modeling Generalized Intergroup Bias and Emotion,   Venkata Subrahmanyan Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David Beaver, Junyi Jessy Li, EACL, 2023.

Multilingual Content Moderation: A Case Study on Reddit, Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani, EACL, 2023.

LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue,   Anthony Sicilia, Malihe Alikhani, AACL, 2022.

Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights,   Anthony Sicilia, Tristian Maidment, Pat Healy, Malihe Alikhani, TACL, 2022.

Zero-shot Cross-Linguistic Learning of Event Semantics,   Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone, INLG 2022.

PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners,   Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang, The Conference on Uncertainty in Artificial Intelligence (UAI), 2022.

** Best  paper award**

How to Ask for Donations? Learning User-Specific Persuasive Dialogue Policies through Online Interactions, Nhat Tran, Malihe Alikhani, Diane Litman, 30th ACM Conference on User Modeling, Adaptation and Personalization. 

** James Chen Best Student Paper Award**

Getting to YES: The Evolution of the University of Pittsburgh Medical Center Hillman Cancer Center Youth Enjoy Science (YES) Academy, Joseph C. Ayoob , Richard D. Boyce , Solomon Livshits , Tullia C. Bruno, Greg M. Delgoffe, Deborah L. Galson, Andrew W. Duncan, Jennifer M. Atkinson, Steffi Oesterreich, Malihe Alikhani, Tobias A. Baker, Sheila Pratt, Kenneth J. DeHaan, Yuanyuan Che, David N. Boone, Journal of STEM Education, 2022.

Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach,  Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Jessy Li, NAACL 2022.

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error, Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani, ACL 2022.

Modeling Intensification for Sign Language Generation: A Computational Approach,  Mert Inan, Yang Zhong, Sabit Hassan, Lorna Quandt, Malihe Alikhani, ACL 2022.

Cross-Modal Coherence for Text-to-Image Retrieval  Malihe Alikhani , Fangda Han , Hareesh Ravi , Mubbasir Kapadia, Vladimir Pavlovic , Matthew Stone , AAAI 2022.

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models,  Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, Varun Gangal, AAAI 2022.

NAREOR: The Narrative Reordering Problem,  Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, AAAI 2022.

COSMic: A Coherence-Aware Generation Metric for Image Descriptions,  Mert Inan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone and Malihe Alikhani, EMNLP, 2021.

Signed Coreference Resolution,  Kayo Yin, Kenneth DeHaan, and Malihe Alikhani, EMNLP, 2021.

Abg-CoQA: Resolving Ambiguities in Conversational Question Answering,  Meiqi Guo, Siva Reddy, Malihe Alikhani, AKBC, 2021.

Words of Wisdom: Representational Harms in Learning from AI Communication,  Amanda Buddemeyer, Erin Walker, Malihe Alikhani, Workshop on Designing Learning Technologies for Equality, Diversity and Inclusion, 2021.

Where Are We in Discourse Relation Recognition?  Kate Atwell, Jessy Li, Malihe Alikhani, SigDial 2021.

Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models, Chloe Ciora, Nur Iren and Malihe Alikhani, INLG, 2021. **Best Short Paper Award**

Towards Designing Enthusiastic AI Agents, Carla Viegas, Malihe Alikhani, 21st ACM International Conference on Intelligent Virtual Agents, 2021. **Honorable Mention**

PARSINLU: A Suite of Language Understanding Challenges for Persian, Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh, TACL 2021

Including Signed Languages in Natural Language Processing, Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg and Malihe Alikhani, ACL-IJCNLP 2021. **Best Theme Paper Award**

Entheos: A Multimodal Dataset for Studying Enthusiasm, Carla Viegas and Malihe Alikhani, ACL-IJCNLP 2021.

Aspectuality Across Genre: A Distributional Semantics Approach, T. Kober, M.  Alikhani, M. Stone, M. Steedman, In Proceedings of the 28th International Conference on Computational Linguistics.

Combining Cognitive Modeling and Reinforcement Learning for Clarification in Dialogue, B. Khalid, M.  Alikhani, M. Stone, In Proceedings of the 28th International Conference on Computational Linguistics.

Clue: Cross-modal Coherence Modeling for Caption Generation, M. Alikhani, P. Sharma, S. Li, R. Soricut, M. Stone, In Proceedings of ACL-2020.

Discourse Coherence, Reference Grounding, and Goal-Oriented Dialogue, B. Khalid, M. Alikhani, M. Fellner,  B. McMahan, M. Stone, In Proceedings of SemDial-2020.

Intention and Attention in Image-Text Presentations: A Coherence Approach, I. Torres, K. Slusarczyk M. Alikhani, M. Stone, In Proceedings of ELM-2020.

That and There: Judging the Intent of Pointing Actions with Robotic Arms, M. Alikhani, B. Khalid, R. Shome, C. Mitash, K. Bekris, M. Stone, In Proceedings of AAAI-2020.

CITE: A Corpus of Image-Text Discourse Relations, M. Alikhani, S. Nag Chowdhury, G. de Melo, M. Stone, In Proceedings of NAACL19. 

"Caption" as a Coherence Relation: Evidence and Implications, M. Alikhani, M. Stone, In Proceedings of NAACL19, Workshop on Shortcomings in Vision and Language.

A Coherence Approach to Data-Driven Inference in Visual Communication, M. Alikhani, T.Hiippala, M. Stone, CVPR2019 Workshop on Language and Vision.

AI2D-RST: A multimodal corpus of 1000 primary school science diagrams, T. Hiippala, M. Alikhani, J. Haverinen, T. Kalliokoski, E. Logacheva, S. Orekhova, A. Tuomainen, M. Stone, J. Bateman, Language Resources and Evaluation Journal.

Arrows are the Verbs of Diagrams, M. Alikhani, M. Stone, In Proceedings of COLING2018, the 27th International Conference on Computational Linguistics. 

Exploring Coherence in Visual Explanations, M. Alikhani, M. Stone, In Proceedings of IEEE First International Workshop on Multimedia Pragmatics. 

When is Likely Unlikely: Investigating Variability of Vagueness, K. Persaud, B. McMahan, M. Alikhani, K. Pei, P. Hemmer, M. Stone, In Proceedings of the Cognitive Science Society Conference. 

Pricing complexity options, M. Alikhani, B. Kjos-Hanssen, Algorithmic Finance 2015. 

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