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Very good paper.
I hope to have a detailed introduction to the "basic training form of dense retrieval" mentioned in the Distant supervision section on page 5. Does it train the query and answer of M…
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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…
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I am calling ruff in two different ways, once explicitly specifiying the config file as /home/torsten/src/service-digital-agent/.ruff.toml, once having it autodiscovered via parent.
`ruff check --…
tnahm updated
2 weeks ago
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### Title: [Curriculum Learning for Dense Retrieval Distillation](https://dblp.org/pid/279/6463.html)
### year: 2022
### Venue: SIGIR
### Main Problem
This research aims to improve the performan…
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## 一言でいうと
オープンドメインのQAで必要な回答が含まれていそうな文書(Passage)の抽出について、既存のTF-IDFやBM25よりベクトル特徴の内積を使用した抽出の方が1~2割精度が改善するという研究結果。Q、Aは別個のBERTでEncodeされ、実行時は FAISSで近傍ベクトルを抽出する。
### 論文リンク
https://arxiv.org/abs/2004.…
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This issue has come up more than once, the most recent being #1548
Our dense indexes don't store the raw text, but if it's a prebuilt index, we know the corresponding sparse index that has the text…
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# Keywords
Contrastive learning, Inverse Cloze Task, MoCo,
# TL;DR
# Abstract
Recently, information retrieval has seen the emergence of dense retrievers, using neural
networks, as an alternativ…
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# Keywords
In-batch negative training
# TL;DR
Train better dense embedding model using only pairs of questions and passages without additional pretraining.
# Abstract
Open-domain question ans…
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Hi everyone.
I'm implementing a multitask model to predict the next item in the basket.
In my candidate model, I would like to insert a feature that represents the score (likelihood) between the…