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Found 4 papers, 3 papers with code
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning
To further extend this task, we officially introduce open-domain multi-hop reasoning (ODMR) by answering multi-hop questions with explicit reasoning steps in open-domain setting.
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market
In recent years, great advances in pre-trained language models (PLMs) have sparked considerable research focus and achieved promising performance on the approach of dense passage retrieval, which aims at retrieving relative passages from massive corpus with given questions.
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
This task becomes notably challenging in a zero-shot setting where no data is available to train tailored retrieval-reader models.
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval
In detail, we introduce an in-passage negative sampling strategy to encourage a diverse generation of sentence representations within the same passage.
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