Vu Le
14 papers · 2022–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (40) 🤝 Dynamic Duo (11) 💎 Century Club · Bronze
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Natural Language Processing
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Artificial Intelligence
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Learning Types · Machine Learning
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code generation
(9)
large language model
(5)
text generation
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retrieval-augmented generation
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program synthesis
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language model
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target similarity tuning
(2)
text classification
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prompt engineering
(1)
incremental learning
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optimal transport
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interactive learning
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human-computer interaction
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embedding similarity
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diffusion model
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semantic analysis
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low-resource language
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natural language
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rule learning
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Papers
An empirical study of validating synthetic data for formula generation
NAACL 2025
Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions
AAAI 2025
Execution-guided within-prompt search for programming-by-example
ICLR 2025
TeCoFeS: Text Column Featurization using Semantic Analysis
NAACL 2025
EmFORE: Learning Email Folder Classification Rules by Demonstration
AAAI 2024
Fast and Interpretable Face Identification for Out-of-Distribution Data Using Vision Transformers
WACV 2024
FLAME: A Small Language Model for Spreadsheet Formulas
AAAI 2024
One-to-many testing for code generation from (just) natural language
EMNLP 2024
RAR: Retrieval-augmented retrieval for code generation in low resource languages
EMNLP 2024
Solving Data-centric Tasks using Large Language Models
NAACL 2024
CodeFusion: A Pre-trained Diffusion Model for Code Generation
EMNLP 2023
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
AAAI 2023
TSTR: Target Similarity Tuning Meets the Real World
EMNLP 2023
Synchromesh: Reliable Code Generation from Pre-trained Language Models
ICLR 2022