Provenance-Aware Query Optimization. - Xing Niu 002; Raghav Kapoor; Boris Glavic; Dieter Gawlick; Zhen Hua Liu; Venkatesh Radhakrishnan (ICDE, 2017)

Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. - Raghav Kapoor; Yaman Kumar 001; Kshitij Rajput; Rajiv Ratn Shah; Ponnurangam Kumaraguru; Roger Zimmermann (AAAI, 2019)

Heuristic and Cost-Based Optimization for Diverse Provenance Tasks. - Xing Niu 002; Raghav Kapoor; Boris Glavic; Dieter Gawlick; Zhen Hua Liu; Vasudha Krishnaswamy; Venkatesh Radhakrishnan (IEEE Trans. Knowl. Data Eng., 2019)

ClassRoute: An English to Punjabi Educational Video Translation Pipeline for Supporting Punjabi Mother-Tongue Education. - Navid Shaghaghi; Smita Ghosh; Raghav Kapoor (GHTC, 2021)

Hate Me Not: Detecting Hate Inducing Memes in Code Switched Languages. - Kshitij Rajput; Raghav Kapoor; Kaushal Rai; Preeti Kaur (AMCIS, 2022)

SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization. - Yash Mathur; Sanketh Rangreji; Raghav Kapoor; Medha Palavalli; Amanda Bertsch; Matthew Gormley 001 (ClinicalNLP@ACL, 2023)

EXCALIBUR: Encouraging and Evaluating Embodied Exploration. - Hao Zhu 011; Raghav Kapoor; So Yeon Min; Winson Han; Jiatai Li; Kaiwen Geng; Graham Neubig; Yonatan Bisk; Aniruddha Kembhavi; Luca Weihs (CVPR, 2023)

MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection. - David C. Jeong; Tianma Shen; Hongji Liu; Raghav Kapoor; Casey Nguyen; Song Liu 003; Christopher A. Kitts (IROS, 2023)

SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract). - Atharva Naik; Yash Parag Butala; Navaneethan Vaikunthan; Raghav Kapoor (AAAI, 2024)

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web. - Raghav Kapoor; Yash Parag Butala; Melisa Russak; Jing Yu Koh; Kiran Kamble; Waseem AlShikh; Ruslan Salakhutdinov (ECCV (68), 2024)

HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models. - Gabriel Sarch; Sahil Somani; Raghav Kapoor; Michael J. Tarr; Katerina Fragkiadaki (CoRR, 2024)

ML-NIC: accelerating machine learning inference using smart network interface cards. - Raghav Kapoor; David C. Anastasiu; Sean Choi (Frontiers Comput. Sci., 2025)