21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.AI2025
On the Limits of Innate Planning in Large Language Models
Charles Schepanowski, Charles Ling
Large language models (LLMs) achieve impressive results on many benchmarks, yet their capacity for planning and stateful reasoning remains unclear. We study these abilities directl…
cs.LG2023★ 21 cited
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
Li Yi, Gezheng Xu, Pengcheng Xu +5
Recent state-of-the-art source-free domain adaptation (SFDA) methods have focused on learning meaningful cluster structures in the feature space, which have succeeded in adapting t…