Khushbu Pahwa

According to our database, Khushbu Pahwa authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Tanmoy Chakraborty, Raju S. Bapi, Manish Gupta

CoRR, June, 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, Maneesh Kumar Singh, Raju Surampudi Bapi, Manish Gupta

CoRR, May, 2025

Multi-modal brain encoding models for multi-modal stimuli.

Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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, January, 2024

Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery.

Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu

CoRR, 2024

InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding.

Kirolos Ataallah, Chenhui Gou, Eslam Abdelrahman, Khushbu Pahwa, Jian Ding, Mohamed Elhoseiny

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing.

Sanae Amani, Khushbu Pahwa, Vladimir Braverman, Lin F. Yang

CoRR, 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, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit P. Sheth, Amitava Das

CoRR, 2023

Neural Architecture of Speech.

Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi

Proceedings of the IEEE International Conference on Acoustics, 2023

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, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases.

Khushbu Pahwa, Ambika Sadhu, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi

CoRR, 2021

WiseR: An end-to-end structure learning and deployment framework for causal graphical models.

Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi

CoRR, 2021