MTEB: Massive Text Embedding Benchmark
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Updated
Jul 31, 2024 - Python
MTEB: Massive Text Embedding Benchmark
Querying local documents, powered by LLM
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
Diffusion on manifolds for image retrieval
Bag of Visual Feature with Hamming Enbedding, 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
An Unsupervised Distance Learning Framework for Multimedia Retrieval
Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"
Energy-based modeling of chemical reactions
Explore from keyword search to dense retrieval and reranking, which injects the intelligence of LLMs into your search system, making it faster and more effective.
Neural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017
Official implementation of NeurIPS 2021 paper "Contextual Similarity Aggregation with Self-attention for Visual Re-ranking"
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking (Findings of EMNLP 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.
Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"
Smart Untact Meeting / 전문가추천시스템 APP
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