Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.org·1d
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Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
arxiv.org·7h
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DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
arxiv.org·1d
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Can LLMs subtract numbers?
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A Soft‑Fork Proposal for Blockchain‑Based Distributed AI Computation
hackernoon.com·2d
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Inferring multiple helper Dafny assertions with LLMs
arxiv.org·1d
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Show HN: Extrai – An open-source tool to fight LLM randomness in data extraction
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RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
arxiv.org·1d
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Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
arxiv.org·1d
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
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