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05/17/2023
Can Language Models Solve Graph Problems in Natural Language?
Large language models (LLMs) are increasingly adopted for a variety of t...
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05/17/2023
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge
Large language models (LLMs) are increasingly adopted for knowledge-inte...
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05/15/2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Large language models (LMs) are pretrained on diverse data sources: news...
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05/14/2023
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
Evaluating the factual consistency of automatically generated summaries ...
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04/22/2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
Online movie review platforms are providing crowdsourced feedback for th...
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10/24/2022
Datavoidant: An AI System for Addressing Political Data Voids on Social Media
The limited information (data voids) on political topics relevant to und...
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10/15/2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Modeling the ideological perspectives of political actors is an essentia...
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10/08/2022
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
With the advent of pre-trained language models (LMs), increasing researc...
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08/18/2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search
Current Graph Neural Networks (GNNs) suffer from the over-smoothing prob...
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08/17/2022
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
Twitter bot detection is an important and meaningful task. Existing text...
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08/17/2022
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
Graph anomaly detection on attributed networks has become a prevalent re...
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08/16/2022
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
Knowledge Graph Embeddings (KGE) aim to map entities and relations to lo...
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06/09/2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Twitter bot detection has become an increasingly important task to comba...
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04/08/2022
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
Political perspective detection has become an increasingly important tas...
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10/22/2021
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method
Graph convolutional networks (GCNs) have been widely adopted for graph r...
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08/09/2021
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
Political stance detection has become an important task due to the incre...
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08/09/2021
