Papers by Dung Vo

2 papers
Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control (2025.acl-long)

Copied to clipboard

Challenge: Existing methods for style transfer between Singlish and Standard English lack explainability and fine-grained control.
Approach: They propose a multi-agent framework where large language models act as expert agents for each linguistic aspect.
Outcome: The proposed model enables precise, interpretable transformations, advancing explainability in NLP for Singlish.
IntentionFrame: A Semi-Structured, Multi-Aspect Framework for Fine-Grained Conversational Intention Understanding (2025.emnlp-main)

Copied to clipboard

Challenge: Existing methods for understanding user intentions in multi-turn dialogues fail to capture conversational complexity.
Approach: They propose a semi-structured framework which organizes conversational intents into four interrelated aspects: situation, emotion, action, and knowledge.
Outcome: The proposed framework retains interpretability and provides a rich context to accurately parse and respond to nuanced user inputs.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations