Lin Ai
12 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (25) π€ Dynamic Duo (11) π Renaissance Researcher (6)
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Prolific Year Β· Productive
π
Century Club Β· Bronze
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Research topics
Artificial Intelligence
(6)
Natural Language Processing
(5)
Core AI
(5)
Machine Learning
(4)
Applications
(4)
Core Methods
(3)
Resources & Methods
(3)
Deep Learning
(2)
Speech & Audio
(2)
Analysis
(2)
Learning Types
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Application Areas
(1)
Keywords
large language model
(3)
low-resource language
(2)
text classification
(2)
self-supervised learning
(1)
named entity recognition
(1)
relation extraction
(1)
text mining
(1)
chain-of-thought reasoning
(1)
meeting summarization
(1)
prosody analysis
(1)
speech analysis
(1)
multimodal learning
(1)
emotion recognition
(1)
low-resource learning
(1)
open information extraction
(1)
information extraction
(1)
novelty detection
(1)
knowledge extraction
(1)
reference-free evaluation
(1)
cognitive modeling
(1)
Papers
A Review of Incorporating Psychological Theories in LLMs
EACL 2026
TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems
ACL 2026
Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialogues
ACL 2025
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances
NAACL 2025
Comparison-Based Automatic Evaluation for Meeting Summarization
Interspeech 2025
Learning More with Less: Self-Supervised Approaches forLow-Resource Speech Emotion Recognition
Interspeech 2025
NovAScore: A New Automated Metric for Evaluating Document Level Novelty
COLING 2025
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent
COLING 2025
SMARTMiner: Extracting and Evaluating SMART Goals from Low-Resource Health Coaching Notes
EMNLP 2025
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
EMNLP 2024
Defending Against Social Engineering Attacks in the Age of LLMs
EMNLP 2024
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
EMNLP 2024