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 collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).

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

Resources and references on solved and unsolved problems in agentic AI.

A comprehensive survey of Vision–Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets

A repo for survey paper "The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning" and a collection of AWESOME papers focused on using LLMs, VLMs for improving RL.

Survey, Project and Thesis of Undergraduate and Graduate Degree Level

A curated collection of Test-Time Adaptation (TTA) papers, methods, and resources, updated monthly with the latest research.

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

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

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

Visualizations for survey paper on domain adaptation without target labels

Resources and references on solved and unsolved problems in attention mechanisms.

A Python utility for cleaning and filtering bibliographic datasets — detects and removes duplicate entries from BibTeX or CSV files, applies inclusion/exclusion criteria to referenced articles, and outputs a final list of candidate papers for literature or systematic reviews.