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20192022
most citedMultiple instance learning with graph neural networks

55 citations · 105 across the 10 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CL2021

Semantic Categorization of Social Knowledge for Commonsense Question Answering

Gengyu Wang, Xiaochen Hou, Diyi Yang +2

Large pre-trained language models (PLMs) have led to great success on various commonsense question answering (QA) tasks in an end-to-end fashion. However, little attention has been…

cs.LG2021

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111

AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.…

cs.CL2021★ 4 cited

Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System

Zichuan Lin, Jing Huang, Bowen Zhou +2

Recent work (Takanobu et al., 2020) proposed the system-wise evaluation on dialog systems and found that improvement on individual components (e.g., NLU, policy) in prior work may…

cs.LG2021

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

Jing Huang, Jie Yang

Hypergraph, an expressive structure with flexibility to model the higher-order correlations among entities, has recently attracted increasing attention from various research domain…

cs.CV2021

Residual Enhanced Multi-Hypergraph Neural Network

Jing Huang, Xiaolin Huang, Jie Yang

Hypergraphs are a generalized data structure of graphs to model higher-order correlations among entities, which have been successfully adopted into various research domains. Meanwh…

cs.CL2021

Conversational AI Systems for Social Good: Opportunities and Challenges

Peng Qi, Jing Huang, Youzheng Wu +2

Conversational artificial intelligence (ConvAI) systems have attracted much academic and commercial attention recently, making significant progress on both fronts. However, little…