Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering

1 code implementation • 28 Mar 2024 • Yexin Wu, Zhuosheng Zhang, Hai Zhao

However, flawless CoT reasoning cannot be guaranteed due to the presence of indecomposable questions and the potential for erroneous reasoning chains, particularly in the case of small-scale language models.

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation

1 code implementation • 17 Jan 2024 • Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan

Neuronal morphology is essential for studying brain functioning and understanding neurodegenerative disorders.

Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders

1 code implementation • 24 Mar 2020 • Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi

Detecting out of distribution (OOD) samples is of paramount importance in all Machine Learning applications.

Out of Distribution (OOD) Detection Representation Learning +1