zhu-minjun Goto Github PK

acl2020-openqa-tutorial

ACL2020 Tutorial: Open-Domain Question Answering

can-plm-serve-as-kb-for-cbqa

The code and data for ACL2021 paper <Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?>

emdr2

Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering"

graphhop

[COLING 2024] The code for ReasonGraphQA

k-adapter

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

neural-comprehension

[ICLR 2024] We have enabled language models to more fundamental comprehension of the concepts, to achieve completely absolute accuracy in symbolic reasoning without additional tools.

summarization-papers

Summarization Papers

zhu-minjun