Yida Mu
9 papers · 2023–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(8)
Natural Language Processing
(6)
Applications · Natural Language Processing
(4)
Learning Types
(4)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Generation
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications · Data Science & Analytics
(1)
Architectures
(1)
Resources & Methods
(1)
Keywords
social media analysis
(3)
large language model
(3)
text classification
(3)
rumor detection
(2)
computational social science
(2)
concept drift
(2)
machine translation
(1)
model calibration
(1)
feature extraction
(1)
soft label
(1)
document-level translation
(1)
document clustering
(1)
document classification
(1)
generalization ability
(1)
semantic analysis
(1)
data quality
(1)
data leakage
(1)
topic model
(1)
temporal analysis
(1)
stance detection
(1)
Papers
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research
EMNLP 2024
Examining Temporalities on Stance Detection towards COVID-19 Vaccination
COLING 2024
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets
COLING 2024
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling
COLING 2024
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
COLING 2024
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows
EMNLP 2024
Stock Price Prediction with Sentiment Analysis for Chinese Market
COLING 2024
Don’t waste a single annotation: improving single-label classifiers through soft labels
EMNLP 2023
It’s about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits
EACL 2023