1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
Saleh Momeni, Changnan Xiao, Bing Liu
This paper studies the problem of class-incremental learning (CIL), a core setting within continual learning where a model learns a sequence of tasks, each containing a distinct se…
cs.AI2024
A Theory for Length Generalization in Learning to Reason
Changnan Xiao, Bing Liu
Length generalization (LG) is a challenging problem in learning to reason. It refers to the phenomenon that when trained on reasoning problems of smaller lengths or sizes, the resu…
cs.AI2023
Conditions for Length Generalization in Learning Reasoning Skills
Changnan Xiao, Bing Liu
Reasoning is a fundamental capability of AI agents. Recently, large language models (LLMs) have shown remarkable abilities to perform reasoning tasks. However, numerous evaluations…