An In-Context Schema Understanding Method for Knowledge Base Question
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An In-Context Schema Understanding Method for Knowledge Base Question Answering

22 October 2023

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Papers citing "An In-Context Schema Understanding Method for Knowledge Base Question Answering"

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Title
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 238 5,665 0 07 Jul 2021
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 391 206 0 18 Apr 2021
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations Jonathan Herzig Peter Shaw Ming-Wei Chang Kelvin Guu Panupong Pasupat Yuan Zhang AI4CE 69 69 0 15 Apr 2021
FLERT: Document-Level Features for Named Entity Recognition Stefan Schweter Alan Akbik 72 112 0 13 Nov 2020
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data Silei Xu Sina J. Semnani Giovanni Campagna M. Lam 59 52 0 09 Oct 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li Basel Alomair Jacob Steinhardt 145 574 0 05 Aug 2020
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base S. Cao Jiaxin Shi Liangming Pan L. Nie Yutong Xiang Lei Hou Juanzi Li Bin He Hanwang Zhang LMTD CoGe 71 102 0 08 Jul 2020
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 109 1,138 0 20 Apr 2020
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,837 0 17 Mar 2017

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