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GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
Facilitating the design, comparison and sharing of deep text matching models.
A unified, comprehensive and efficient recommendation library
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
An Open-Source Package for Information Retrieval.
Tevatron - A flexible toolkit for neural retrieval research and development.
Python utilities for Manubot: Manuscripts, open and automated
Provides a common interface to many IR ranking datasets.
An open science effort to benchmark legal reasoning in foundation models
Unbiased Learning To Rank Algorithms (ULTRA)
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how p…
Unbiased Learning To Rank Algorithms (ULTRA)
an unbias-learning-to-rank dataset of Baidu
SIGIR'22 paper: Axiomatically Regularized Pre-training for Ad hoc Search
A general framework used on evaluating the performance of large language models (LLMs) based on the peer review mechanism among LLMs
personalized product search with product reviews