Charles Yu
9 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver
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Mega-Team · Squad
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Prolific Year · Productive
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Machine Learning
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Learning Types · Machine Learning
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Healthcare & Medicine
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Keywords
large language model
(5)
language model debiasing
(2)
bias mitigation
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language model
(2)
pre-trained language model
(2)
probabilistic logic
(1)
natural language processing
(1)
zero-shot learning
(1)
theoretical analysis
(1)
multimodal learning
(1)
knowledge base
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gradient descent
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differentiable programming
(1)
knowledge graph
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manifold learning
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prompt tuning
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information extraction
(1)
text mining
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word embedding
(1)
few-shot learning
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Papers
Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
IJCAI 2025
LORE: Continual Logit Rewriting Fosters Faithful Generation
EMNLP 2025
ADEPT: A DEbiasing PrompT Framework
AAAI 2023
Defining a New NLP Playground
EMNLP 2023
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
ICLR 2023
Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model
ACL 2023
Unlearning Bias in Language Models by Partitioning Gradients
ACL 2023
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
NAACL 2022
Word Frequency Does Not Predict Grammatical Knowledge in Language Models
EMNLP 2020