3 papers
cs.LG2025
Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?
Guangzhi Sun, Potsawee Manakul, Xiao Zhan +1
Unlearning has emerged as a critical capability for large language models (LLMs) to support data privacy, regulatory compliance, and ethical AI deployment. Recent techniques often…
cs.CL2025
Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models
Potsawee Manakul, Guangzhi Sun, Warit Sirichotedumrong +2
Audio language models process audio inputs using textual prompts for tasks like speech recognition and audio captioning. Although built on multilingual pre-trained components, most…
cs.CL2024
SkillAggregation: Reference-free LLM-Dependent Aggregation
Guangzhi Sun, Anmol Kagrecha, Potsawee Manakul +2
Large Language Models (LLMs) are increasingly used to assess NLP tasks due to their ability to generate human-like judgments. Single LLMs were used initially, however, recent work…