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Moeve: Controlling resource deployment at scale with AWS CloudFormation Guard Hooks
aws.amazon.com·1d
The Liquid Glass Plan
netnewswire.blog·10h
Why you should be using pathlib (2018)
treyhunner.com·1d·
Discuss: Lobsters, Hacker News
Valorant's 128-Tick Servers
technology.riotgames.com·1d·
Discuss: Hacker News
Obelisk 0.25.4 and handling of WASM traps
obeli.sk·2d·
Discuss: Lobsters, Hacker News, r/rust
🧩programming
SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
arxiv.org·1d
⚙️Compilers
Embracing the parallel coding agent lifestyle
simonwillison.net·3d·
Discuss: Hacker News, Hacker News, Hacker News
🎰Bytecode VMs
SurveyBench: How Well Can LLM(-Agents) Write Academic Surveys?
arxiv.org·2d
📐Language Theory
A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
arxiv.org·1d
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
arxiv.org·1d
⚙️Compilers
Multi-Modal Oral Cancer Detection Using Weighted Ensemble Convolutional Neural Networks
arxiv.org·1d
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
arxiv.org·1d
📐Language Theory
Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
arxiv.org·1d
Unsupervised Active Learning via Natural Feature Progressive Framework
arxiv.org·1d
Know Thyself? On the Incapability and Implications of AI Self-Recognition
arxiv.org·1d
GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
arxiv.org·1d
📐Language Theory
Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion
arxiv.org·1d
A Comparative Study of Vision Transformers and CNNs for Few-Shot Rigid Transformation and Fundamental Matrix Estimation
arxiv.org·1d
⚙️Compilers
Structure-Preserving MHD-Driftkinetic Discretization for Wave-Particle Interactions
arxiv.org·1d
FrameOracle: Learning What to See and How Much to See in Videos
arxiv.org·1d
🎨Graphics Programming