Pei-Fu Guo

According to our database, Pei-Fu Guo authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection.

Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin

CoRR, May, 2025

2024

Benchmarking Large Language Model Uncertainty for Prompt Optimization.

Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin

CoRR, 2024

Text-centric Alignment for Multi-Modality Learning.

Yun-Da Tsai, Ting-Yu Yen, Pei-Fu Guo, Zhe-Yan Li, Shou-De Lin

CoRR, 2024

Towards Optimizing with Large Language Model.

Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

2023

Towards Optimizing with Large Language Models.

Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin

CoRR, 2023