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). Monthly Updates.

[ACM CSUR] A curated list of papers on universal representation learning for time series.

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

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

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

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

Autonomous Literature Survey Engine — 5 research paradigms (scoping, systematic, deep, narrative, snowball) for systematic academic investigation. Strategy-book pattern: CC reads and decides.

Website Repository for the Research Paper "Cognition-Aware Virtual and Augmented Reality"

A survey on deep learning approaches for Music Emotion Recognition (MER), covering datasets, feature extraction techniques, CNN, BiLSTM, Transformer, and multimodal models.

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.

Resources, benchmarks, literature corpus, reproducibility artifacts, and reliability analyses accompanying the survey on Visual Foundation Models in Visual Computing.

Visualizations for survey paper on domain adaptation without target labels

Research survey exploring AI applications in cancer genomics, including ML, DL, GNNs, Transformers, Generative AI, XAI, precision medicine, and biomarker discovery.

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.