activity
20172021
most citedVariational Reasoning for Question Answering with Knowledge Graph

179 citations · 238 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI202112 cited

GNN is a Counter? Revisiting GNN for Question Answering

Kuan Wang, Yuyu Zhang, Diyi Yang +2

Question Answering (QA) has been a long-standing research topic in AI and NLP fields, and a wealth of studies have been conducted to attempt to equip QA systems with human-level re…

cs.AI2021

Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients

Yuyu Zhang, Heng Chi, Binghong Chen +4

A wide range of modern science and engineering applications are formulated as optimization problems with a system of partial differential equations (PDEs) as constraints. These PDE…

cs.CL202010 cited

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding

Yuyu Zhang, Ping Nie, Xiubo Geng +3

Recent studies on open-domain question answering have achieved prominent performance improvement using pre-trained language models such as BERT. State-of-the-art approaches typical…

cs.AI202037 cited

Efficient Probabilistic Logic Reasoning with Graph Neural Networks

Yuyu Zhang, Xinshi Chen, Yuan Yang +4

Markov Logic Networks (MLNs), which elegantly combine logic rules and probabilistic graphical models, can be used to address many knowledge graph problems. However, inference in ML…

cs.LG2019

Can Graph Neural Networks Help Logic Reasoning?

Yuyu Zhang, Xinshi Chen, Yuan Yang +4

Effectively combining logic reasoning and probabilistic inference has been a long-standing goal of machine learning: the former has the ability to generalize with small training da…

cs.LG2018

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings

Yuyu Zhang, Hanjun Dai, Kamil Toraman +1

The AI2 Reasoning Challenge (ARC), a new benchmark dataset for question answering (QA) has been recently released. ARC only contains natural science questions authored for human ex…