Pinned Repositories
bert-ranking-analysis
SIGIR'20: An Analysis of BERT in Document Ranking
disentangled-retriever
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
DRhard
SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.
DRScale
extrapolate-eval
CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
JPQ
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
PromptReformulate
pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
RepBERT-Index
RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.
RepCONC
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
jingtaozhan's Repositories
jingtaozhan/DRhard
SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.
jingtaozhan/RepCONC
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
jingtaozhan/RepBERT-Index
RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.
jingtaozhan/disentangled-retriever
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
jingtaozhan/JPQ
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
jingtaozhan/bert-ranking-analysis
SIGIR'20: An Analysis of BERT in Document Ranking
jingtaozhan/extrapolate-eval
CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
jingtaozhan/PromptReformulate
jingtaozhan/DRScale
jingtaozhan/pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
jingtaozhan/BERT-related-papers
BERT-related papers
jingtaozhan/DL4EEG-Classification
The implementation of deep learning models for EEG classification.
jingtaozhan/guide
The Student's Guide to @lintool
jingtaozhan/jingtaozhan
jingtaozhan/jingtaozhan.github.io
Homepage
jingtaozhan/Rayuela.jl
Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.
jingtaozhan/warc-clueweb
Python library for reading ClueWeb09's warc files