Summary of Implicit In-context Learning, by Zhuowei Li et al.
Implicit In-context Learningby Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu,…
Implicit In-context Learningby Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu,…
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Lossby Yi-Shan Wu,…
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidanceby Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe…
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Modelsby…
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrastby Chufan Shi, Cheng Yang,…
Identity Inference from CLIP Models using Only Textual Databy Songze Li, Ruoxi Cheng, Xiaojun JiaFirst…
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detectionby Marco Rando, Luca…
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structureby Gaurav Maheshwari, AurĂ©lien Bellet,…
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Propertyby Yuya Yoshikawa, Masanari…
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problemby…