Collection of papers and resources for data augmentation for NLP.

[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

A curated list of state-of-the-art papers on deep learning for universal representations of time series.

Survey, Project and Thesis of Undergraduate and Graduate Degree Level

A curated list of weakly supervised learning methods and datasets for facial behavior analysis.

A survey of semantic uncertainty, MixCL, and methods for mitigating hallucinations & a proposal integrating those techniques into a cohesive framework for modifying LLM training structure

A survey paper exploring the use of state-of-the-art deep neural network architectures in NLP problems featuring very large documents.

Visualizations for survey paper on domain adaptation without target labels