Sanjeda Akter

CoRR, November, 2025

Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift.

[BibT_eX]

[DOI]

CoRR, October, 2025

Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis.

[BibT_eX]

[DOI]

Senem Velipasalar Gursoy

CoRR, September, 2025

Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Design.

[BibT_eX]

[DOI]

CoRR, September, 2025

What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?

[BibT_eX]

[DOI]

CoRR, September, 2025

Differentiable Entropy Regularization for Geometry and Neural Networks.

[BibT_eX]

[DOI]

CoRR, September, 2025

Inducing Faithfulness in Structured Reasoning via Counterfactual Sensitivity.

[BibT_eX]

[DOI]

CoRR, September, 2025

Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study.

[BibT_eX]

[DOI]

CoRR, July, 2025

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges.

[BibT_eX]

[DOI]

CoRR, July, 2025

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems.

[BibT_eX]

[DOI]

CoRR, June, 2025

Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments.

[BibT_eX]

[DOI]

CoRR, May, 2025

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains.

[BibT_eX]

[DOI]

CoRR, May, 2025

HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems.

[BibT_eX]

[DOI]