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Found 3 papers, 2 papers with code
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
Our method adaptively controls the accuracy of the randomized solver and the penalty parameters of the exact augmented Lagrangian, to ensure that the inexact Newton direction is a descent direction of the exact augmented Lagrangian.
Who Wrote this Code? Watermarking for Code Generation
Based on \citet{Kirchenbauer2023watermark}, we propose a new watermarking method, Selective WatErmarking via Entropy Thresholding (SWEET), that promotes "green" tokens only at the position with high entropy of the token distribution during generation, thereby preserving the correctness of the generated code.
A Simplified Framework for Contrastive Learning for Node Representations
Contrastive learning has recently established itself as a powerful self-supervised learning framework for extracting rich and versatile data representations.
