Summary of B-cosification: Transforming Deep Neural Networks to Be Inherently Interpretable, by Shreyash Arya et al.
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretableby Shreyash Arya, Sukrut Rao, Moritz Böhle,…
Summary of Active Preference-based Learning For Multi-dimensional Personalization, by Minhyeon Oh et al.
Active Preference-based Learning for Multi-dimensional Personalizationby Minhyeon Oh, Seungjoon Lee, Jungseul OkFirst submitted to arxiv…
Summary of Adapting Language Models Via Token Translation, by Zhili Feng et al.
Adapting Language Models via Token Translationby Zhili Feng, Tanya Marwah, Nicolo Fusi, David Alvarez-Melis, Lester…
Summary of Residual Transformer Alignment with Spectral Decomposition, by Lorenzo Basile et al.
ResiDual Transformer Alignment with Spectral Decompositionby Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco…
Summary of Enhancing Diversity in Bayesian Deep Learning Via Hyperspherical Energy Minimization Of Cka, by David Smerkous et al.
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKAby David Smerkous, Qinxun…
Summary of Selfcodealign: Self-alignment For Code Generation, by Yuxiang Wei et al.
SelfCodeAlign: Self-Alignment for Code Generationby Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain,…
Summary of Dynamical Similarity Analysis Can Identify Compositional Dynamics Developing in Rnns, by Quentin Guilhot et al.
Dynamical similarity analysis can identify compositional dynamics developing in RNNsby Quentin Guilhot, Michał Wójcik, Jascha…
Summary of Representative Social Choice: From Learning Theory to Ai Alignment, by Tianyi Qiu
Representative Social Choice: From Learning Theory to AI Alignmentby Tianyi QiuFirst submitted to arxiv on:…
Summary of Adaptive Alignment: Dynamic Preference Adjustments Via Multi-objective Reinforcement Learning For Pluralistic Ai, by Hadassah Harland et al.
Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AIby Hadassah Harland, Richard…
Summary of Rethinking Inverse Reinforcement Learning: From Data Alignment to Task Alignment, by Weichao Zhou et al.
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignmentby Weichao Zhou, Wenchao LiFirst submitted…