Peter Bernoulli's repositories
awesome-docking-KyGao
An awesome & curated list of docking papers
awesome-phd-advice_PaulLiangCMU
Collection of advice for prospective and current PhD students
chatgpt-on-openie-with-PoloWitty
Evaluate chatgpt's performance on the Open Information Extraction task using CaRB dataset
ContextualSP-microsoft
Multiple paper open-source codes of the Microsoft Research Asia DKI group
GNNPapers-thunlp
Must-read papers on graph neural networks (GNN)
GraphQ_IR-Semantic-Parsing-of-Graph-Query-Languages
A Unified Intermediate Representation for Graph Query Languages
hello-world
The Big Bang
KEAR-microsoft-QA
Official code for achieving human parity on CommonsenseQA with External Attention
KENLG-Reading
Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.
LocalGraphClustering
kfoynt/LocalGraphClustering
PLMpapers_thunlp
Must-read Papers on pre-trained language models.
PySyft
A library for answering questions using data you cannot see
RE-GCN-Lee-zix
This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
SuperGen-Neurips2022
[NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding