-
Hi guys, thanks for your great repo.
I want to ask some question
1. What is the similarity distribution of model when I set temperature = 0.02? Previously, I saw you say that when temperature=0.01, …
-
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…
-
It would be worth to provide an example of using ColBERT passage retrieval from a user query as browser execution.
A good example has been provide [here](https://colbert.aiserv.cloud/) for query-pass…
-
Need to add passage-level retrieval. Aim for the coolest thing possible, which, I think, is:
- Allow users to specify how each "retrieval item" is processed. Default implementation is 1 result per can…
-
```
datasets = ['hotpotqa', '2wikimqa', 'musique', 'narrativeqa', 'qasper', 'multifieldqa_en', 'gov_report', 'qmsum', 'trec', 'samsum', 'triviaqa', 'passage_count', 'passage_retrieval_en', 'multi_new…
-
cd retrieval_lm
python passage_retrieval.py \
--model_name_or_path facebook/contriever-msmarco --passages psgs_w100.tsv \
--passages_embeddings "wikipedia_embeddings/*" \
--data YOUR_I…
-
- [ ] [README.md · BAAI/bge-reranker-large at main](https://huggingface.co/BAAI/bge-reranker-large/blob/main/README.md?code=true)
# README.md · BAAI/bge-reranker-large at main
## FlagEmbedding
Flag…
-
## 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.…
-
A100测试
code:
```
import time
from FlagEmbedding import BGEM3FlagModel
model = BGEM3FlagModel('/home/admin/bge-m3', use_fp16=True)
sentences_1 = ["What is BGE M3?", "Defination of BM25"]
…
-
For Multi-DocumentQA is there a simple way to know which passages are being retrieved from for a given answer? It would be very helpful to have a field called 'retrieval_indices' which contains the in…