HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 2025)

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 2025)

Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 2025)

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems. - Sanjeda Akter; Ibne Farabi Shihab; Anuj Sharma (CoRR, 2025)

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges. - Sanjeda Akter; Ibne Farabi Shihab; Anuj Sharma (CoRR, 2025)

Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study. - Ibne Farabi Shihab; Sanjeda Akter; Anuj Sharma (CoRR, 2025)