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Great Truths are Always Simple: A Rather Simple Knowledge Encoder for
  Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models

Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models

4 May 2022
Jinhao Jiang
Kun Zhou
Wayne Xin Zhao
Ji-Rong Wen
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models"

5 / 5 papers shown
Title
Solving Hard Analogy Questions with Relation Embedding Chains
Solving Hard Analogy Questions with Relation Embedding Chains
Nitesh Kumar
Steven Schockaert
68
1
0
18 Oct 2023
Open-Set Knowledge-Based Visual Question Answering with Inference Paths
Open-Set Knowledge-Based Visual Question Answering with Inference Paths
Jingru Gan
Xinzhe Han
Shuhui Wang
Qingming Huang
81
0
0
12 Oct 2023
Graph Reasoning for Question Answering with Triplet Retrieval
Graph Reasoning for Question Answering with Triplet Retrieval
Shiyang Li
Yifan Gao
Hao Jiang
Qingyu Yin
Zheng Li
Xifeng Yan
Chao Zhang
Bing Yin
RALMReLM
93
35
0
30 May 2023
StructGPT: A General Framework for Large Language Model to Reason over
  Structured Data
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Jinhao Jiang
Kun Zhou
Zican Dong
Keming Ye
Wayne Xin Zhao
Ji-Rong Wen
LRMLMTDRALM
164
301
0
16 May 2023
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question
  Answering Over Knowledge Graph
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Jinhao Jiang
Kun Zhou
Wayne Xin Zhao
Ji-Rong Wen
RALM
130
84
0
02 Dec 2022
1