Testing Unnatural Prompt Engineering Across Five Large Language Models
blog.codeminer42.com·4d
⚡Proof Automation
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Scala vs. F#
💧Liquid Types
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Data Observability in Analytics: Tools, Techniques, and Why It Matters
kdnuggets.com·16h
👁️System Observability
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The Collapse of Centralized AI Discovery
🎯Threat Hunting
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Feature-Guided Analysis of Neural Networks: A Replication Study
arxiv.org·1d
🧠Machine Learning
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EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
arxiv.org·2d
🔲Cellular Automata
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·53m
👤Search Personalization
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NASA releases robotic / flight app generation tool Ogma under Apache license
🔓Open Source Software
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Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model
arxiv.org·53m
🎧Learned Audio
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Finding Non-Redundant Simpson's Paradox from Multidimensional Data
arxiv.org·1d
📐Interval Trees
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Algorithmic Assistance with Recommendation-Dependent Preferences
arxiv.org·1d
🔍Information Retrieval
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Reflections on Trusting Trust (1984)
📜Proof Carrying Code
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·1d
🌀Riemannian Computing
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Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
arxiv.org·1d
🔍Information Retrieval
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DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
arxiv.org·1d
📝Text Parsing
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ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
arxiv.org·1d
📊Learned Metrics
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