4 papers
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
Chenruo Liu, Yijun Dong, Yiqiu Shen +1
Iterative self-improvement fine-tunes an autoregressive large language model (LLM) on reward-verified outputs generated by the LLM itself. In contrast to the empirical success of s…
Does Weak-to-strong Generalization Happen under Spurious Correlations?
Chenruo Liu, Yijun Dong, Qi Lei
We initiate a unified theoretical and algorithmic study of a key problem in weak-to-strong (W2S) generalization: when fine-tuning a strong pre-trained student with pseudolabels fro…
Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
Chenruo Liu, Hongjun Liu, Zeyu Lai +3
To enhance group robustness to spurious correlations, prior work often relies on auxiliary group annotations and assumes identical sets of groups across training and test domains.…
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu, Kenan Tang, Yao Qin +1
This paper bridges distribution shift and AI safety through a comprehensive analysis of their conceptual and methodological synergies. While prior discussions often focus on narrow…