Latest Advances on Agentic AI & AI Agents for Healthcare

A collection of AWESOME things about LLM-Centric-Molecular-Discovery.

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

List of papers on hallucination detection in LLMs.

📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

A resource repository for machine unlearning in large language models

A curated list of resources for using LLMs to develop more competitive grant applications.

Large Language Model-enhanced Recommender System Papers

A Survey on Data Selection for Language Models

Large Language Models for Anomaly and Out-of-Distribution Detection

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

tracking papers, datasets, and models of "large language model (LLM) for time series"

Chronos: Pretrained Models for Time Series Forecasting

[KDD'23] Learning Strong Graph Neural Networks with Weak Information

[WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

A collection of AWESOME things about Graph-Related LLMs.

The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.