A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

The repository for Continual Collaborative Distillation for Recommender Systems (CCD), accepted at KDD'24.

A curated resource for taxonomy research

Extra product metadata for the Amazon ESCI dataset

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"

Implementation of paper: HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

Code for KERM: Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking, accepted at SIGIR 2022.

Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)

This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.

Open-Source Information Retrieval Courses @ TU Wien

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

A unified, comprehensive and efficient recommendation library

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。