WiseR: An end-to-end structure learning and deployment framework for causal graphical models. - Shubham Maheshwari; Khushbu Pahwa; Tavpritesh Sethi (CoRR, 2021)

Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases. - Khushbu Pahwa; Ambika Sadhu; Mayank Sethi; Sargun Nagpal; Tavpritesh Sethi (CoRR, 2021)

FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering. - Megha Chakraborty; Khushbu Pahwa; Anku Rani; Shreyas Chatterjee; Dwip Dalal; Harshit Dave; Ritvik G; Preethi Gurumurthy; Adarsh Mahor; Samahriti Mukherjee; Aditya Pakala; Ishan Paul; et al. (EMNLP, 2023)

Neural Architecture of Speech. - Subba Reddy Oota; Khushbu Pahwa; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (ICASSP, 2023)

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering. - Megha Chakraborty; Khushbu Pahwa; Anku Rani; Adarsh Mahor; Aditya Pakala; Arghya Sarkar; Harshit Dave; Ishan Paul; Janvita Reddy; Preethi Gurumurthy; Ritvik G; Samahriti Mukherjee; et al. (CoRR, 2023)

Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing. - Sanae Amani; Khushbu Pahwa; Vladimir Braverman; Lin F. Yang (CoRR, 2023)

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. - Mert Kosan; Samidha Verma; Burouj Armgaan; Khushbu Pahwa; Ambuj K. Singh; Sourav Medya; Sayan Ranu (ICLR, 2024)

InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding. - Kirolos Ataallah; Chenhui Gou; Eslam Abdelrahman; Khushbu Pahwa; Jian Ding 001; Mohamed Elhoseiny (CoRR, 2024)

Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. - Yifan Wu; Yuntao Yang; Zirui Liu 001; Zhao Li; Khushbu Pahwa; Rongbin Li; Wenjin Zheng; Xia Hu 001; Zhaozhuo Xu (CoRR, 2024)

Efficient adversarial debiasing with concept activation vector - Medical image case-studies. - Ramon Correa; Khushbu Pahwa; Bhavik N. Patel; Celine M. Vachon; Judy W. Gichoya; Imon Banerjee (J. Biomed. Informatics, 2024)

EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. - Subhajit Chaudhury; Payel Das; Sarathkrishna Swaminathan; Georgios Kollias; Elliot Nelson; Khushbu Pahwa; Tejaswini Pedapati; Igor Melnyk; Matthew Riemer (ACL (1), 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Rai Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi GNVV; Manish Shrivastava 001; Maneesh Kumar Singh 002; Bapi Raju Surampudi; Manish Gupta 001 (ICLR, 2025)

Multi-modal brain encoding models for multi-modal stimuli. - Subba Reddy Oota; Khushbu Pahwa; Mounika Marreddy; Maneesh Kumar Singh 002; Manish Gupta 001; Bapi Raju Surampudi (ICLR, 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi; Manish Shrivastava 001; Maneesh Kumar Singh 002; Raju Surampudi Bapi; Manish Gupta 001 (CoRR, 2025)

Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain. - Subba Reddy Oota; Khushbu Pahwa; Prachi Jindal; Satya Sai Srinath Namburi; Maneesh Kumar Singh 002; Tanmoy Chakraborty 002; Raju S. Bapi; Manish Gupta 001 (CoRR, 2025)