Papers by Tien N Nguyen

2 papers
VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning (2025.findings-naacl)

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Challenge: Existing approaches to enhance large language models' ability to predict program behavior struggle with dynamic reasoning tasks.
Approach: They propose a visual control flow graph that integrates CoT reasoning with a control flow . they aim to improve performance in program behavior prediction, error detection and output generation .
Outcome: The proposed approach improves program behavior prediction, error detection, and output generation.
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models (2025.acl-long)

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Challenge: Large Language Models often require significant computational resources, often constraining input word or code token lengths.
Approach: They propose to use the encoder-decoder attention scores to represent the importance of a code token across multiple contexts to reduce training and prediction time.
Outcome: The proposed approach outperforms the SOTAs DietCode and SlimCode in code search and summarization tasks.

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