Learning to program "recycles" preexisting F-P pop codes of logical algorithms
๐Automata Learning
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Clean Code: Functions and Error Handling in Go: From Chaos to Clarity [Part 1]
hackernoon.comยท5d
ฮปFunctional Programming
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Adaptive Beamforming Optimization via Decentralized Reinforcement Learning in Millimeter Wave Networks
๐๏ธObservability
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.orgยท1d
โ๏ธCompiler Design
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Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
arxiv.orgยท16h
๐ธ๏ธGraph Theory
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Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play
arxiv.orgยท1d
๐งฉParser Combinators
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Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
arxiv.orgยท1d
๐งฉParser Combinators
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Part 4: Building Station Station - Where SDD Helped (and Where It Didn't)
๐Runtime Verification
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Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
arxiv.orgยท1d
๐Automata Learning
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Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
arxiv.orgยท1d
๐Automata Learning
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A Guide To Being Persuasive About AI Dangers
lesswrong.comยท14h
๐ฒCellular Automata
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From user to implementer: My journey understanding coding agents
๐Reproducible Builds
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Part 4: Building Station Station - Where SDD Helped (and Where It Didn't)
๐Runtime Verification
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Part 4: Building Station Station - Where SDD Helped (and Where It Didn't)
๐Runtime Verification
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Being "Usefully Concrete"
lesswrong.comยท23h
โก๏ธCategory Theory
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