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Found 6 papers, 2 papers with code
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
Despite their recent popularity and well-known advantages, dense retrievers still lag behind sparse methods such as BM25 in their ability to reliably match salient phrases and rare entities in the query and to generalize to out-of-domain data.
Ranked #2 on
Passage Retrieval
on EntityQuestions
Decoupled Transformer for Scalable Inference in Open-domain Question Answering
To reduce computational cost and latency, we propose decoupling the transformer MRC model into input-component and cross-component.
Robustly Optimized and Distilled Training for Natural Language Understanding
In this paper, we explore multi-task learning (MTL) as a second pretraining step to learn enhanced universal language representation for transformer language models.
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering
A popular approach to QA is extractive reading comprehension (RC) which finds an answer span in a text passage.
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020.
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
We study open-domain question answering with structured, unstructured and semi-structured knowledge sources, including text, tables, lists and knowledge bases.
Ranked #1 on
Open-Domain Question Answering
on WebQuestions
(using extra training data)
Knowledge Base Question Answering
Open-Domain Question Answering
