3 papers
cs.LG2026
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…
cs.CV2026
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.…
cs.AI2025
PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
Yitao Long, Yuru Jiang, Hongjun Liu +6
This work investigates the reasoning and planning capabilities of foundation models and their scalability in complex, dynamic environments. We introduce PuzzlePlex, a benchmark des…