Topic: reranking Goto Github
Some thing interesting about reranking
Some thing interesting about reranking
reranking,A Java implementation of the classical Information Retrieval models in the TREC-COVID Challenge with the CORD19 Dataset
User: anaezquerro
reranking,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.
User: arslankas
Home Page: https://www.deeplearning.ai/short-courses/large-language-models-semantic-search/
reranking,Who's that Pokemon (card)? Search over more than 10K Pokemon cards to find out the coolest one yet! β¨
User: bhavnicksm
Home Page: https://pokemoncards.streamlit.app/
reranking,Improving Bilingual Lexicon Induction with Cross-Encoder Reranking (Findings of EMNLP 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.
Organization: cambridgeltl
reranking,This repository showcases a comprehensive approach to information retrieval, document re-ranking, and language model integration. It incorporates techniques such as document chunking, embedding projection, and automatic query expansion to enhance the effectiveness of information retrieval systems.
User: charanhu
reranking,Energy-based modeling of chemical reactions
Organization: coleygroup
reranking,Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
User: dcarpintero
Home Page: https://wikisearch.streamlit.app/
reranking,Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"
User: devsinghsachan
reranking,Diffusion on manifolds for image retrieval
User: ducha-aiki
reranking,MTEB: Massive Text Embedding Benchmark
Organization: embeddings-benchmark
Home Page: https://arxiv.org/abs/2210.07316
reranking,Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"
User: gmberton
reranking,Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG, Reranking, Langchain, Langsmith..
User: gulabpatel
reranking,A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Organization: ict-bigdatalab
reranking,Library for plotting multiple ranks evolved over processing steps - draw a rankflow/bump chart
User: izikeros
reranking,Information Retrieval using KoSentence-BERT
User: jaeyeongs
reranking,The phenomenon refers to the degradation of model performance on tokens in the middle of long sequences, where the model tends to focus more on the beginning and end tokens, losing context in the middle.
User: jhaayush2004
reranking,Reranking from scratch using sentence-transformer, BM25, Cohere and Cross-Encoders !!!
User: jhaayush2004
reranking,Advanced RAG pipeline using Re-Ranking after initial retrieval
User: kdotseth7
reranking,Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.
User: ksm26
Home Page: https://www.deeplearning.ai/short-courses/prompt-compression-and-query-optimization/
reranking,Assignment on Information Retrieval course, implementing ranking algorithms with Lucene.
User: lxucs
reranking,predicting a movie list with Two-sided Fairness-aware Recommendation Model (accotding to TFROM_A article) dataset : https://grouplens.org/datasets/movielens/100k/
User: mahshidkhatiri
reranking,This repository is dedicated to exploring and implementing vector-based retrieval methods and reranking algorithms. It includes Jupyter notebooks with practical examples and code snippets that demonstrate how these techniques can be applied for efficient information retrieval in various datasets.
User: mariyaben
reranking,Official implementation of NeurIPS 2021 paper "Contextual Similarity Aggregation with Self-attention for Visual Re-ranking"
User: mcc-wh
reranking,Simple script to re-rank images using OpenAI's CLIP https://github.com/openai/CLIP.
User: mehdidc
reranking,Multi-stage Retrieval using SPLADE or RM3 and T5.
User: mihirs16
reranking,mixedbread ai python sdk
Organization: mixedbread-ai
Home Page: https://www.mixedbread.ai/docs
reranking,
Organization: mixedbread-ai
Home Page: https://www.mixedbread.ai/docs
reranking,Python-based toolkit for building and evaluating a transformer-based FAQ retrieval system
Organization: ml-recipes
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
User: morningmoni
reranking,[ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting
User: mukhal
Home Page: https://arxiv.org/abs/2205.12650
reranking,Smart Untact Meeting / μ λ¬Έκ°μΆμ²μμ€ν APP
Organization: osamhack2020
reranking,μλ² λ©(SentenceTransformer) λ° μ¬μμν(Re-Ranking)
User: paulms77
reranking,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.
User: prithivirajdamodaran
reranking,Chroma DB vector database, with embedding and reranker models to implement a Retrieval Augmented Generation (RAG) system.
User: rupeshtr78
reranking,Querying local documents, powered by LLM
User: snexus
reranking,Implementation of Probabilistic Retrieval Query expansion and Relevance Model based Language Modelling aimed at improving the precision of results using pseudo-relevance feedback in Information Retrieval.
User: subhalingamd
reranking,Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
User: sunnweiwei
Home Page: https://arxiv.org/abs/2304.09542
reranking,Frontend for comic book semantic search engine. Renders explanations along with search results
User: surajsrivathsa
reranking,This is an official implementation for "Robust Graph Structure Learning over Images via Multiple Statistical Tests" accepted at NeurIPS 2022.
User: thomas-wyh
reranking,An Unsupervised Distance Learning Framework for Multimedia Retrieval
Organization: udlf
reranking,Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
Organization: ukplab
reranking,Exploring search relevance techniques.
User: yahyaalaamassoud
reranking,Training a customized dataset on fast-reid, evaluation and visualization
User: zening-w
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