activity
20192022
most citedLearning Attribute-Structure Co-Evolutions in Dynamic Graphs

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach

Wenhao Yu, Chenguang Zhu, Zhihan Zhang +4

A common thread of retrieval-augmented methods in the existing literature focuses on retrieving encyclopedic knowledge, such as Wikipedia, which facilitates well-defined entity and…

cs.CL2022

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts

Wenhao Yu, Chenguang Zhu, Lianhui Qin +3

Generative commonsense reasoning (GCR) in natural language is to reason about the commonsense while generating coherent text. Recent years have seen a surge of interest in improvin…

cs.CL2020

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training

Zhihan Zhang, Xiubo Geng, Tao Qin +2

Procedural text describes dynamic state changes during a step-by-step natural process (e.g., photosynthesis). In this work, we focus on the task of procedural text understanding, w…

cs.LG20202 cited

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs

Daheng Wang, Zhihan Zhang, Yihong Ma +4

Most graph neural network models learn embeddings of nodes in static attributed graphs for predictive analysis. Recent attempts have been made to learn temporal proximity of the no…

cs.CV2019

DCA: Diversified Co-Attention towards Informative Live Video Commenting

Zhihan Zhang, Zhiyi Yin, Shuhuai Ren +2

We focus on the task of Automatic Live Video Commenting (ALVC), which aims to generate real-time video comments with both video frames and other viewers' comments as inputs. A majo…