An Approach to Intelligent Traction Control Using Regression Networks and Anomaly Detection. - Arijit Ray; Kishan Prudhvi Guddanti; N. Chellammal (Appl. Artif. Intell., 2015)

The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing. - Prashant Chandrasekar; Xuan Zhang; Saurabh Chakravarty; Arijit Ray; John Krulick; Alla Rozovskaya (CoNLL Shared Task, 2016)

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions. - Arijit Ray; Gordon A. Christie; Mohit Bansal; Dhruv Batra; Devi Parikh (EMNLP, 2016)

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. - Arijit Ray; Karan Sikka; Ajay Divakaran; Stefan Lee; Giedrius Burachas (EMNLP/IJCNLP (1), 2019)

Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval. - Arijit Ray; Yi Yao; Rakesh Kumar 001; Ajay Divakaran; Giedrius Burachas (HCOMP, 2019)

Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention. - Shalini Ghosh; Giedrius Burachas; Arijit Ray; Avi Ziskind (CoRR, 2019)

Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness. - Arijit Ray; Giedrius Burachas; Yi Yao; Ajay Divakaran (CoRR, 2019)

The Impact of Explanations on AI Competency Prediction in VQA. - Kamran Alipour; Arijit Ray; Xiao Lin; Jürgen P. Schulze; Yi Yao; Giedrius T. Burachas (CoRR, 2020)

Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness. - Arijit Ray; Michael Cogswell; Xiao Lin; Kamran Alipour; Ajay Divakaran; Yi Yao; Giedrius Burachas (CoRR, 2021)

Improving Users' Mental Model with Attention-directed Counterfactual Edits. - Kamran Alipour; Arijit Ray; Xiao Lin; Michael Cogswell; Jürgen P. Schulze; Yi Yao; Giedrius T. Burachas (CoRR, 2021)

Language-Guided Audio-Visual Source Separation via Trimodal Consistency. - Reuben Tan; Arijit Ray; Andrea Burns; Bryan A. Plummer; Justin Salamon; Oriol Nieto; Bryan C. Russell; Kate Saenko (CVPR, 2023)

Cola: A Benchmark for Compositional Text-to-image Retrieval. - Arijit Ray; Filip Radenovic; Abhimanyu Dubey; Bryan A. Plummer; Ranjay Krishna; Kate Saenko (NeurIPS, 2023)

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? - Arijit Ray; Filip Radenovic; Abhimanyu Dubey; Bryan A. Plummer; Ranjay Krishna; Kate Saenko (CoRR, 2023)

Socratis: Are large multimodal models emotionally aware? - Katherine Deng; Arijit Ray; Reuben Tan; Saadia Gabriel; Bryan A. Plummer; Kate Saenko (CoRR, 2023)

Lasagna: Layered Score Distillation for Disentangled Object Relighting. - Dina Bashkirova; Arijit Ray; Rupayan Mallick; Sarah Adel Bargal; Jianming Zhang 001; Ranjay Krishna; Kate Saenko (CoRR, 2023)

BloomVQA: Assessing Hierarchical Multi-modal Comprehension. - Yunye Gong; Robik Shrestha; Jared Claypoole; Michael Cogswell; Arijit Ray; Christopher Kanan; Ajay Divakaran (ACL (Findings), 2024)

Feedback-Guided Autonomous Driving. - Jimuyang Zhang; Zanming Huang; Arijit Ray; Eshed Ohn-Bar (CVPR, 2024)

SAT: Spatial Aptitude Training for Multimodal Language Models. - Arijit Ray; Jiafei Duan; Reuben Tan; Dina Bashkirova; Rose Hendrix; Kiana Ehsani; Aniruddha Kembhavi; Bryan A. Plummer; Ranjay Krishna; Kuo-Hao Zeng; Kate Saenko (CoRR, 2024)

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation. - Abhay Deshpande; Yuquan Deng; Arijit Ray; Jordi Salvador; Winson Han; Jiafei Duan; Kuo-Hao Zeng; Yuke Zhu; Ranjay Krishna; Rose Hendrix (CoRR, 2025)