Elixir Misconceptions #1: Don't "let it crash". Let it heal
zachdaniel.dev·4d·
Discuss: Lobsters, Hacker News
⚡Async Rust
The how and why of GitHub to Codeberg
arscyni.cc·4d·
Discuss: Lobsters, Hacker News, r/programming
🕸️WebAssembly
Microsoft "Wassette": Rust and WebAssembly to Help AI Agents
phoronix.com·3d·
Discuss: Hacker News
🕸️WebAssembly
Decoupled Contrastive Learning for Federated Learning
arxiv.org·3d
🕯️Candle
Revealing Temporal Label Noise in Multimodal Hateful Video Classification
arxiv.org·2d
🤖AI
MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
arxiv.org·2d
🕯️Candle
Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
arxiv.org·2d
🏗️LLVM
Critiquing the Dunning-Kruger Effect
lesswrong.com·3d
🤖AI
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
arxiv.org·2d
🕯️Candle
Reinforcement Learning Generation of 4-Qubits Entangled States
arxiv.org·2d
🌍Distributed Systems
Driver Assistant: Persuading Drivers to Adjust Secondary Tasks Using Large Language Models
arxiv.org·2d
🤖AI
Data Overdose? Time for a Quadruple Shot: Knowledge Graph Construction using Enhanced Triple Extraction
arxiv.org·4d
📈Graph Algorithms
Calibrating Deep Neural Network using Euclidean Distance
arxiv.org·2d
🕯️Candle
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
arxiv.org·3d
🕯️Candle
Interior Object Geometry via Fitted Frames
arxiv.org·2d
🎨Computer Graphics
Building Effective Safety Guardrails in AI Education Tools
arxiv.org·2d
🎮Game Engines
Elucidating the Role of Feature Normalization in IJEPA
arxiv.org·4d
🕯️Candle
Extract-and-Evaluate Monitoring Can Significantly Enhance CoT Monitoring Performance (Research Note)
lesswrong.com·2d
🔒Hardware Security
A Data-Driven Machine Learning Approach for Predicting Axial Load Capacity in Steel Storage Rack Columns
arxiv.org·5d
🕯️Candle
Conformal Sets in Multiple-Choice Question Answering under Black-Box Settings with Provable Coverage Guarantees
arxiv.org·2d
🕯️Candle