Kolmogorov Complexity, Understanding Measurement, Cognitive Metrics, Information Efficiency
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·20h
Why Computer Science Is No Good, Redux
cacm.acm.org·7h
(BT) Diversity from (LC) Diversity
golem.ph.utexas.edu·7h
MLE-STAR is designed to automate machine learning pipelines with minimal human input
the-decoder.com·1d
TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
arxiv.org·20h
AI-Based Measurement of Innovation: Mapping Expert Insight into Large Language Model Applications
arxiv.org·20h
Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs
towardsdatascience.com·8h
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