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Found 3 papers, 2 papers with code
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models
Fine-tuned Large Language Models (LLMs) often suffer from overconfidence and poor calibration, particularly when fine-tuned on small datasets.
From Hyperbolic Geometry Back to Word Embeddings
We choose random points in the hyperbolic disc and claim that these points are already word representations.
[Re] Reproducibility report of "Interpretable Complex-Valued Neural Networks for Privacy Protection"
Since the original paperʼs code was not published, all of the codebase was written independently from scratch, based solemnly on how it was described in the paper.
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