most citedAlignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2026

A Statistical Perspective on Knowledge Distillation: Foundations, Classical Methods, and Large Language Model Extensions

Luyang Fang, Haoran Lu, Jiazhang Cai +4

Knowledge Distillation (KD) has emerged as a vital paradigm for transferring the capabilities of high-capacity models to efficient ``student'' counterparts, addressing critical cha…

stat.ML2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

Jiazhang Cai, Tao Wang, Ruidong Zhang +35

Complex problem solving (CPS) with large language models (LLMs) is often framed as a matter of stronger reasoning or longer generation. Yet early-step error amplification, prompt b…