4 papers
FDIR: Harmonizing Fidelity and Human-Machine Preference in Lossy Compression Image Restoration
Kuan-Yen Chen, Fang-Yi Su, Philip Chikontwe +1
Image restoration quality can be evaluated along three complementary facets: pixel-level fidelity, human perception, and downstream machine preference. However, existing lossy comp…
The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models
Kuan-Yen Chen, Fang-Yi Su, Shih-Yen Lin +2
Recent works show that LLM agents struggle to correct errors in their own reasoning traces, despite their ability to correct errors from external sources. We ask whether this refle…
Automated IEP Generation from Traditional Chinese Parent-Teacher Interviews via Corpus-Grounded Feature Diffusion
Kuanlin Chen, Cheng-En Ou
Writing Individualized Education Programs (IEPs) is a high-labor, knowledge-intensive document burden; English-language research has demonstrated that generative AI can significant…
SHERPA: A Model-Driven Framework for Large Language Model Execution
Boqi Chen, Kua Chen, José Antonio Hernández López +3
Recently, large language models (LLMs) have achieved widespread application across various fields. Despite their impressive capabilities, LLMs suffer from a lack of structured reas…