Semanlink - Favoris ; Technical girls and guys ; Information retrieval AND Attention mechanism

Jerry Liu sur X : "This might be the first time ChatGPT (+@jxnlco) helped us come up with a better retrieval algorithm for RAG..."

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2023-08-28 A propos

[2202.06991] Transformer Memory as a Differentiable Search Index

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2022-10-25 A propos

[2205.11498] Domain Adaptation for Memory-Efficient Dense Retrieval

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2022-09-26 A propos

NAVER LABS Europe : "@Nils_Reimers of @huggingface on 'Unsupervised domain adaptation for neural search'"

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2022-03-09 A propos

[2112.07577] GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

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An unsupervised domain adaptation technique for dense retrieval models

1. synthetic queries
are generated for each passage from the target corpus (using an existing pre-trained [T5](tag:text_to_text_transfer_transformer)
encoder-decoder)
2. the generated queries are used for mining negative
passages (retrieving the most similar
paragraphs using an existing dense retrieval
model == hard negatives!)
3. the query-passage pairs are labeled by a cross-encoder and used to train the domain-adapted
dense retriever (using method described in [Hofstätter et al.,
2020](doc:2021/12/2010_02666_improving_efficien))

[Nils Reimers sur Twitter](doc:2021/12/nils_reimers_sur_twitter_do_), [GitHub](https://github.com/UKPLab/gpl),  by the author of [TSDAE](doc:2021/09/2104_06979_tsdae_using_trans)

Claims to improve "Doc2Query" [Document Expansion by Query Prediction](doc:2022/01/1904_08375_document_expansion): ([src](https://twitter.com/KexinWang2049/status/1471435779415150598))

> - GPL: Uses doc2query to construct synthetic data and does knowledge distillation (i.e. training) on that data.
> - Doc2query: Generates queries to extend the documents and use BM25 on top of them w/o training.

2021-12-15 A propos

Nils Reimers sur Twitter : "New models for Neural Information Retrieval..."

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2021-04-17 A propos

Joint Intent Classification and Slot Filling with Transformers (Jupyter Notebook Viewer)

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2020-01-09 A propos

Thomas Wolf sur Twitter : "I liked the LSH attention in the reformer..."

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2020-01-05 A propos

[1911.00172] Generalization through Memorization: Nearest Neighbor Language Models

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2019-12-20 A propos