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### Description
The current implementation of retrievers follows closely to what the original RRF (Reciprocal Rank Fusion) paper proposed. I wonder if weighting could be introduced such that one resu…
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Starting point: https://github.com/castorini/anserini/pull/2489
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## Introduction
This document outlines the design for implementing Reciprocal Rank Fusion, RRF, within the neural search plugin. RRF, first outlined in [a 2009 paper by Cormac, Clarke, and Büttcher…
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Implement into Lucene https://lists.apache.org/list.html?java-user@lucene.apache.org
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In order to fully repro #2307 in Anserini, we'll need some basic rank fusion impl in Anserini.
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I am currently working on a project that involves finetuning Visualized BGE. I have been able to successfully use the pretrained model, but now I would like to further finetune it for my specific use …
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I have a couple of questions.
1. on the paper you say you used 1920 batchsize when experimenting with stage 2, can you tell me how many gpu nodes you actually used and how many gpu per node?
2. …
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## Description
Hey guys, I am using the hybrid search feature and was wondering how you can filter out search results that are below a certain rank fusion score of the hybrid search? This would hel…
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Hello! Thank you for making this tool, it is fantastic and easy to implement. I was wondering if you had any insight into how to combine the vector search with keyword search, and how to set a thresho…
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This issue isn't a problem to be fixed, rather it is a record to keep track of undergraduate student's work on TREC 2024. In a series of comments, contributors can write about their work (at a high le…