activity
20192023
most citedHIN: Hierarchical Inference Network for Document-Level Relation Extraction

11 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 10 cited

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Qingyue Wang, Yanhe Fu, Yanan Cao +3

Recently, large language models (LLMs), such as GPT-4, stand out remarkable conversational abilities, enabling them to engage in dynamic and contextually relevant dialogues across…

cs.CL2023★ 1 cited

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking

Qingyue Wang, Liang Ding, Yanan Cao +5

Zero-shot transfer learning for Dialogue State Tracking (DST) helps to handle a variety of task-oriented dialogue domains without the cost of collecting in-domain data. Existing wo…

cs.SI2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily

Fengzhao Shi, Ren Li, Yanan Cao +5

Graph Neural Networks (GNNs) have achieved remarkable success in diverse real-world applications. Traditional GNNs are designed based on homophily, which leads to poor performance…

cs.CL2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training

Yuanxin Liu, Fandong Meng, Zheng Lin +4

Recent studies on the lottery ticket hypothesis (LTH) show that pre-trained language models (PLMs) like BERT contain matching subnetworks that have similar transfer learning perfor…

cs.CL2020★ 11 cited

HIN: Hierarchical Inference Network for Document-Level Relation Extraction

Hengzhu Tang, Yanan Cao, Zhenyu Zhang +4

Document-level RE requires reading, inferring and aggregating over multiple sentences. From our point of view, it is necessary for document-level RE to take advantage of multi-gran…

cs.LG2019

RLINK: Deep Reinforcement Learning for User Identity Linkage

Xiaoxue Li, Yanan Cao, Yanmin Shang +3

User identity linkage is a task of recognizing the identities of the same user across different social networks (SN). Previous works tackle this problem via estimating the pairwise…

cs.CL2019★ 1 cited

Joint Entity Linking with Deep Reinforcement Learning

Zheng Fang, Yanan Cao, Dongjie Zhang +3

Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base. Previous studies have highlighted the necessity for entity linking systems to c…