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Hi,
I have recently switched to Pyterrier and have been pleased with the dense retrieval plug-ins. Thank you very much for creating the wonderful framework.
I have been going through the pain of…
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Hi!
Thanks for open-sourcing the codes for Beam Retrieval.
Do you have any plans to share the checkpoints of the models?
Thanks a lot!
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# 🌟 New model addition
## Model description
In this paper, we introduce Evidentiality-guided GGenerator, which incorporates evidentiality of passages---whether a passage contains correct evidenc…
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Hello, I saw that the code used for dense retrieval in the fine-tuning documentation is the following code.
CUDA_VISIBLE_DEVICES=0 torchrun --nproc_per_node 1 -m FlagEmbedding.baai_general_embedd…
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Hey, thanks for sharing this very interesting work!
I was interested in the recent LoCo benchmark composed for long-context retrieval and found it useful to have results for a very simple lexical b…
calpt updated
3 months ago
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우선, 이 글을 쓰는 이유는 모든 파트가 할 것이 많지만 그 중, Retriever를 조금 건드려 봤습니다.
그래서 아직 역할이 안 정해졌지만 Retriever하시는 분들에게 조금이라도 편하고 빠르게 진행할 수 있도록 시도해봤습니다.
(아직 코드에 허점이 있을 것 같지만 성과를 보였기에 말씀드리겠습니다.)
흐름은 rank_bm25의 github …
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Hi,
I'm trying to reproduce your result on TREC 2019 task and I have noticed that TREC actually includes several tasks while it's based on MS MARCO dataset. So may I ask which part of TREC 2019 did …
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## What/Why
### What are you proposing?
With https://github.com/opensearch-project/ml-commons/issues/1799 OpenSearch can now use asymmetric embedding models such as e5. Asymmetric embedding models d…
br3no updated
4 months ago
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### Description
What Does RMSEnergyExtractor Do?
Calculates RMS Energy:
RMS energy is a measure of the power of an audio signal. It is computed as the square root of the average of the squared …
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Hello,
In the paper it is stated that
> ... given a random list of n documents [d1, d2, ..., dn], we extract randomly from each a pair of spans, [s11, s12, ..., sn1, sn2].
I was wondering how t…