Tan-Hexiang

FiD

Fusion-in-Decoder

RetrieveOrGenerated

This is the code repository for the ACL2024 paper "Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA?"

Temporal_KGC

Blinded_by_Generated_Contexts

DataMining-

分享数据挖掘课大作业竞赛的资料

diffmask

Pytorch implementation of DiffMask

DPR

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

dynamic-graph-papers

动态图表示论文汇总

fact-graph

Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"

GenRead

Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.

KnowledgeGraphEmbedding

KPQA

KPQA is an evaluation metric for generative question answering. (NAACL-21)

MIT-6.824-2016

MIT 6.824 2016

Pretrain_model_PaperRead

Qianyan_Data

SKG

tan-hexiang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

tevatron

Tevatron - A flexible toolkit for dense retrieval research and development.

TOIS-PAGE

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.