2 papers
cs.CL2026
Entropy-Gated Branching for Efficient Test-Time Reasoning
Xianzhi Li, Ethan Callanan, Abdellah Ghassel +1
Test-time compute methods can significantly improve the reasoning capabilities and problem-solving accuracy of large language models (LLMs). However, these approaches require subst…
cs.AI2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation
Xianzhi Li, Ran Zmigrod, Zhiqiang Ma +2
Language models are capable of memorizing detailed patterns and information, leading to a double-edged effect: they achieve impressive modeling performance on downstream tasks with…