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20192024
most citedLingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

23 citations · 116 across the 34 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.AI2022★ 18 cited

Large Language Models are Better Reasoners with Self-Verification

Yixuan Weng, Minjun Zhu, Fei Xia +6

Recently, with the chain of thought (CoT) prompting, large language models (LLMs), e.g., GPT-3, have shown strong reasoning ability in several natural language processing tasks suc…

cs.CL2022★ 1 cited

Generating Hierarchical Explanations on Text Classification Without Connecting Rules

Yiming Ju, Yuanzhe Zhang, Kang Liu +1

The opaqueness of deep NLP models has motivated the development of methods for interpreting how deep models predict. Recently, work has introduced hierarchical attribution, which p…

cs.CL2022★ 5 cited

Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

Fangyu Lei, Shizhu He, Xiang Li +2

In the real-world question answering scenarios, hybrid form combining both tabular and textual contents has attracted more and more attention, among which numerical reasoning probl…

cs.CL2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains

Minjun Zhu, Yixuan Weng, Shizhu He +2

The ability of reasoning over evidence has received increasing attention in question answering (QA). Recently, natural language database (NLDB) conducts complex QA in knowledge bas…

cs.CL2022★ 23 cited

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

Fei Xia, Bin Li, Yixuan Weng +5

The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic. This paper presents a medical conversa…