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🧠 Intelligence Compression

Kolmogorov Complexity, Understanding Measurement, Cognitive Metrics, Information Efficiency

Mastering Feature Interactions: A Deep Dive into DLRM-Style Ranking Models (Wide & Deep, DeepFM, etc.)
shaped.aiΒ·1d
πŸŽ›οΈFeed Filtering
What can we expect of LLMs as Software Engineers?
chelseatroy.comΒ·3d
πŸ“Text Parsing
Is artificial intelligence turning off our minds?
english.elpais.comΒ·15hΒ·
Discuss: Hacker News
🌍Cultural Algorithms
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.ioΒ·2dΒ·
Discuss: Hacker News
πŸ“Log Parsing
CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models
arxiv.orgΒ·21h
πŸ”²Cellular Automata
Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
arxiv.orgΒ·21h
πŸ”Information Retrieval
Xiangqi-R1: Enhancing Spatial Strategic Reasoning in LLMs for Chinese Chess via Reinforcement Learning
arxiv.orgΒ·21h
πŸ”²Cellular Automata
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
arxiv.orgΒ·21h
πŸŒ€Riemannian Computing
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.orgΒ·1d
🧠Machine Learning
Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators
arxiv.orgΒ·21h
🌳Context free grammars
Grammatical Structure and Grammatical Variations in Non-Metric Iranian Classical Music
arxiv.orgΒ·1d
🎼Computational Musicology
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models
arxiv.orgΒ·2d
πŸ’»Local LLMs
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
arxiv.orgΒ·21h
πŸ”Information Retrieval
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
arxiv.orgΒ·21h
πŸ’»Programming languages
Why AI ops miss the real AI adoption problem
mocksi.aiΒ·1dΒ·
Discuss: Hacker News
🌍Cultural Algorithms
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
arxiv.orgΒ·21h
πŸ•ΈοΈAlgebraic Topology
AI Improves at Improving Itself Using an Evolutionary Trick
dev.toΒ·1hΒ·
Discuss: DEV
⚑Incremental Computation
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
arxiv.orgΒ·21h
β§—Information Bottleneck
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
arxiv.orgΒ·21h
βš–οΈFeed Ranking
Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need
towardsdatascience.comΒ·3d
πŸ“ŠLearned Metrics
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