Neural Compression, Machine Learning, Rate-Distortion, Entropy Models
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimzation
arxiv.org·2d
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
arxiv.org·2d
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
arxiv.org·2d
Geometric Structures and Patterns of Meaning: A PHATE Manifold Analysis of Chinese Character Embeddings
arxiv.org·2d
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