Yung-Chen Tang

According to our database, Yung-Chen Tang authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning.

Yung-Chen Tang, Pin-Yu Chen, Andrea Cavallaro

CoRR, October, 2025

Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets.

Lei Hsiung, Tianyu Pang, Yung-Chen Tang, Linyue Song, Tsung-Yi Ho, Pin-Yu Chen, Yaoqing Yang

CoRR, June, 2025

2024

Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration.

Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho

Trans. Mach. Learn. Res., 2024

Defining and Evaluating Physical Safety for Large Language Models.

Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho

CoRR, 2024

2023

NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration.

Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023