| 2026 | ACL | Dialogue is the Plan: From Interface to Joint Action in Agentic AI. | Mert Inan, Malihe Alikhani, Anthony Sicilia |
| 2026 | ACL | OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation. | Ziyi Wang, Yuxuan Lu, Wenbo Li, Amirali Amini, Bo Sun, Yakov Bart, Weimin Lyu, Jiri Gesi, Tian Wang, Jing Huang, Yu Su, Upol Ehsan, Malihe Alikhani, Toby Jia-Jun Li, Lydia B. Chilton, Dakuo Wang |
| 2026 | LREC | How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse. | Saki Imai, Lee Kezar, Laurel Aichler, Mert Inan, Erin Walker, Alicia Wooten, Lorna Cobban Quandt, Malihe Alikhani |
| 2025 | ACL | Measuring Bias and Agreement in Large Language Model Presupposition Judgments. | Katherine Atwell, Mandy Simons, Malihe Alikhani |
| 2025 | ACL | SignAlignLM: Integrating Multimodal Sign Language Processing into Large Language Models. | Mert Inan, Anthony Sicilia, Malihe Alikhani |
| 2025 | ACL | Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others from Conversational Cues. | Anthony B. Sicilia, Malihe Alikhani |
| 2025 | COLING | Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI. | Yuya Asano, Sabit Hassan, Paras Sharma, Anthony B. Sicilia, Katherine Atwell, Diane J. Litman, Malihe Alikhani |
| 2025 | COLING | An Active Learning Framework for Inclusive Generation by Large Language Models. | Sabit Hassan, Anthony B. Sicilia, Malihe Alikhani |
| 2025 | EMNLP | Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation. | Mert Inan, Anthony Sicilia, Alex Xie, Saujas Vaduguru, Daniel Fried, Malihe Alikhani |
| 2025 | EMNLP | Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates. | Anthony Sicilia, Malihe Alikhani |
| 2025 | NAACL | How to Align Multiple Signed Language Corpora for Better Sign-to-Sign Translations? | Mert Inan, Yang Zhong, Vidya Ganesh, Malihe Alikhani |
| 2025 | NAACL | Accounting for Sycophancy in Language Model Uncertainty Estimation. | Anthony Sicilia, Mert Inan, Malihe Alikhani |
| 2025 | RANLP | Measuring How (Not Just Whether) VLMs Build Common Ground. | Saki Imai, Mert Inan, Anthony B. Sicilia, Malihe Alikhani |
| 2025 | RANLP | SiLVERScore: Semantically-Aware Embeddings for Sign Language Generation Evaluation. | Saki Imai, Mert Inan, Anthony B. Sicilia, Malihe Alikhani |
| 2025 | RANLP | Reversing Causal Assumptions: Explainability in Online Sports Dialogues. | Asteria Kaeberlein, Malihe Alikhani |
| 2025 | RANLP | How LLMs Influence Perceived Bias in Journalism. | Asteria Kaeberlein, Malihe Alikhani |
| 2024 | AAAI | Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues. | Maneesh Bilalpur, Mert Inan, Dorsa Zeinali, Jeffrey F. Cohn, Malihe Alikhani |
| 2024 | ACL | Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. | Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel |
| 2024 | COLING | Combining Discourse Coherence with Large Language Models for More Inclusive, Equitable, and Robust Task-Oriented Dialogue. | Katherine Atwell, Mert Inan, Anthony B. Sicilia, Malihe Alikhani |
| 2024 | COLING | Seeing Eye-to-Eye: Cross-Modal Coherence Relations Inform Eye-gaze Patterns During Comprehension & Production. | Mert Inan, Malihe Alikhani |
| 2024 | EACL | HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations. | Anthony Sicilia, Jennifer C. Gates, Malihe Alikhani |
| 2024 | EMNLP | Studying and Mitigating Biases in Sign Language Understanding Models. | Katherine Atwell, Danielle Bragg, Malihe Alikhani |
| 2024 | NAACL | Generating Signed Language Instructions in Large-Scale Dialogue Systems. | Mert Inan, Katherine Atwell, Anthony Sicilia, Lorna C. Quandt, Malihe Alikhani |
| 2023 | ACL | D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias. | Sabit Hassan, Malihe Alikhani |
| 2023 | ACL | Learning to Generate Equitable Text in Dialogue from Biased Training Data. | Anthony Sicilia, Malihe Alikhani |
| 2023 | ACL | MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations. | Yan Wang, Heidi Ann Scharf Donovan, Sabit Hassan, Malihe Alikhani |
| 2023 | EACL | 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 |
| 2023 | EACL | PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically. | Sedrick Scott Keh, Steven Y. Feng, Varun Gangal, Malihe Alikhani, Eduard H. Hovy |
| 2023 | EACL | Multilingual Content Moderation: A Case Study on Reddit. | Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani |
| 2023 | EMNLP | SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. | Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi |
| 2023 | IJCNLP | DisCGen: A Framework for Discourse-Informed Counterspeech Generation. | Sabit Hassan, Malihe Alikhani |
| 2023 | SIGdial | 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 |
| 2022 | AAAI | Cross-Modal Coherence for Text-to-Image Retrieval. | Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone |
| 2022 | AAAI | Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. | Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal |
| 2022 | AAAI | NAREOR: The Narrative Reordering Problem. | Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy |
| 2022 | ACL | 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 |
| 2022 | ACL | Modeling Intensification for Sign Language Generation: A Computational Approach. | Mert Inan, Yang Zhong, Sabit Hassan, Lorna C. Quandt, Malihe Alikhani |
| 2022 | CogSci | Learning variations in children's multimodal cues of uncertainty during a math-related numerical discrimination task. | Theresa Choi, Rahma Mbarki, Grace Grmek, Kimele Persaud, Jinjing (Jenny) Wang, Malihe Alikhani |
| 2022 | CogSci | Studying the Effect of Moderator Biases on the Diversity of Online Discussions: A Computational Cross-linguistic Study. | Sabit Hassan, Katherine Atwell, Malihe Alikhani |
| 2022 | CogSci | Learning cognitive and linguistic prosodic categories for automatic cross-lingual sign language understanding. | Mert Inan, Yang Zhong, Sabit Hassan, Lorna C. Quandt, Malihe Alikhani |
| 2022 | CogSci | Look For Adjectives In the Face: How Facial Expressions Contribute To Meaning In Signed Languages. | Carla Viegas, Lorna C. Quandt, Malihe Alikhani |
| 2022 | COLING | The Role of Context and Uncertainty in Shallow Discourse Parsing. | Katherine Atwell, Remi Choi, Junyi Jessy Li, Malihe Alikhani |
| 2022 | COLING | APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations. | Katherine Atwell, Sabit Hassan, Malihe Alikhani |
| 2022 | COLING | PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation. | Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy |
| 2022 | IJCAI | Including Signed Languages in Natural Language Processing (Extended Abstract). | Kayo Yin, Malihe Alikhani |
| 2022 | IJCNLP | LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue. | Anthony Sicilia, Malihe Alikhani |
| 2022 | NAACL | Political Ideology and Polarization: A Multi-dimensional Approach. | Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Jessy Li |
| 2022 | UAI | PAC-Bayesian domain adaptation bounds for multiclass learners. | Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang |
| 2021 | ACL | Entheos: A Multimodal Dataset for Studying Enthusiasm. | Carla Viegas, Malihe Alikhani |
| 2021 | ACL | Including Signed Languages in Natural Language Processing. | Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani |
| 2021 | EMNLP | COSMic: A Coherence-Aware Generation Metric for Image Descriptions. | Mert Inan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani |
| 2021 | EMNLP | Signed Coreference Resolution. | Kayo Yin, Kenneth DeHaan, Malihe Alikhani |
| 2021 | INLG | Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models. | Chloe Ciora, Nur Iren, Malihe Alikhani |
| 2021 | IVA | Towards Designing Enthusiastic AI Agents. | Carla Viegas, Malihe Alikhani |
| 2021 | SIGdial | Where Are We in Discourse Relation Recognition? | Katherine Atwell, Junyi Jessy Li, Malihe Alikhani |
| 2020 | AAAI | That and There: Judging the Intent of Pointing Actions with Robotic Arms. | Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas E. Bekris, Matthew Stone |
| 2020 | ACL | Achieving Common Ground in Multi-modal Dialogue. | Malihe Alikhani, Matthew Stone |
| 2020 | ACL | Cross-modal Coherence Modeling for Caption Generation. | Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut, Matthew Stone |
| 2020 | COLING | Combining Cognitive Modeling and Reinforcement Learning for Clarification in Dialogue. | Baber Khalid, Malihe Alikhani, Matthew Stone |
| 2020 | COLING | Aspectuality Across Genre: A Distributional Semantics Approach. | Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman |
| 2019 | NAACL | CITE: A Corpus of Image-Text Discourse Relations. | Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone |
| 2018 | COLING | Arrows are the Verbs of Diagrams. | Malihe Alikhani, Matthew Stone |
| 2017 | CogSci | When is Likely Unlikely: Investigating the Variability of Vagueness. | Kimele Persaud, Brian McMahan, Malihe Alikhani, Kevin Pei, Pernille Hemmer, Matthew Stone |