Semanlink - Ranking (information retrieval) AND Neural Search

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Arxiv Doc - Benchmark - BERT - Bhaskar Mitra - BM25 - EMNLP 2021 - Information retrieval - Neural Search - Nils Reimers - NLP@Facebook - NLP datasets - Question Answering - Ranking (information retrieval) - Semantic Search - Sentence Embeddings - Synthetic data (NLP) - Tweet - Using LLM to create synthetic data - Zero shot -

Ranking (information retrieval) AND Neural Search

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7 Documents

Improving Search Ranking with Few-Shot Prompting of LLMs | Vespa Blog

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2023-07-07 About

Devendra Singh Sachan sur Twitter : "...Unsupervised Passage Re-ranker (UPR), an approach to re-rank retrieved passages for information retrieval tasks."

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2022-04-18 About

Zexuan Zhong sur Twitter : ...Does this really mean dense models are better? No Our #EMNLP2021 paper shows dense retrievers even fail to answer simple entity-centric questions

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2021-10-07 About

Building a sentence embedding index with fastText and BM25 | by David Mezzetti | Towards Data Science

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2021-09-30 About

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

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2021-07-09 About

[2007.12603] IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles

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2021-04-12 About

[1602.01137] A Dual Embedding Space Model for Document Ranking

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2019-07-17 About