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 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

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.