Pei-Fu Guo

According to our database, Pei-Fu Guo authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models.

Pei-Fu Guo, Ya-An Tsai, Chun-Chia Hsu, Kai-Xin Chen, Yun-Da Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin

CoRR, April, 2026

2025

LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs.

Pei-Fu Guo, Yun-Da Tsai, Chun-Chia Hsu, Kai-Xin Chen, Ya-An Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin

CoRR, November, 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

Text-centric Alignment for Bridging Test-time Unseen Modality.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Benchmarking Uncertainty Metrics for LLM Target-Aware Search.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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