Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction. - Varun Madhavan; Aditya Girish Pawate; Shraman Pal; Abhranil Chandra (CoRR, 2021)

Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning. - Shraman Pal; Mansi Uniyal; Jihong Park; Praneeth Vepakomma; Ramesh Raskar; Mehdi Bennis; Moongu Jeon; Jinho Choi 001 (CoRR, 2021)

Improving Question Answering with Generation of NQ-like Questions. - Saptarashmi Bandyopadhyay; Shraman Pal; Hao Zou; Abhranil Chandra; Jordan L. Boyd-Graber (CoRR, 2022)

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems. - Asha Ramanujam; Adam Elyoumi; Hao Chen; Sai Madhukiran Kompalli; Akshdeep Singh Ahluwalia; Shraman Pal; Dimitri J. Papageorgiou; Can Li (CoRR, 2025)