Pinned Repositories
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)"
FiD
Fusion-in-Decoder
GenRead
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
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
Tan-Hexiang's Repositories
Tan-Hexiang/FiD
Fusion-in-Decoder
Tan-Hexiang/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?"
Tan-Hexiang/Temporal_KGC
Tan-Hexiang/Blinded_by_Generated_Contexts
Tan-Hexiang/DataMining-
分享数据挖掘课大作业竞赛的资料
Tan-Hexiang/diffmask
Pytorch implementation of DiffMask
Tan-Hexiang/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Tan-Hexiang/dynamic-graph-papers
动态图表示论文汇总
Tan-Hexiang/fact-graph
Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"
Tan-Hexiang/GenRead
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
Tan-Hexiang/KnowledgeGraphEmbedding
Tan-Hexiang/KPQA
KPQA is an evaluation metric for generative question answering. (NAACL-21)
Tan-Hexiang/MIT-6.824-2016
MIT 6.824 2016
Tan-Hexiang/Pretrain_model_PaperRead
Tan-Hexiang/Qianyan_Data
Tan-Hexiang/SKG
Tan-Hexiang/tan-hexiang.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Tan-Hexiang/tevatron
Tevatron - A flexible toolkit for dense retrieval research and development.
Tan-Hexiang/TOIS-PAGE
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling
Tan-Hexiang/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.