⚙️ MLOps - hop1.ng.1357 · Scour

Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference 📱Edge AI Optimization

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing 🛡️AI Safety

Verifying Machine Learning Interpretability Requirements through Provenance 🔍AI Interpretability

Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity 🤖LLM

arxiv.org·1d·Hacker News

KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment 🌍Distributed Systems

Continual Calibration: Coverage Can Collapse Before Accuracy in Lifelong LLM Fine-Tuning ✨LLMs

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs 🕳LLM Vulnerabilities

Calibeating Prediction-Powered Inference 🔍AI Interpretability

Hierarchical adaptive control for real-time dynamic inference at the edge 📱Edge AI Optimization

Feasible-First Exploration for Constrained ML Deployment Optimization in Crash-Prone Hierarchical Search Spaces 📱Edge AI Optimization

Select to Think: Unlocking SLM Potential with Local Sufficiency ✨LLMs

CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation 🤖LLM

From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation ⚙️Compilers

MoRFI: Monotonic Sparse Autoencoder Feature Identification 🤖LLM

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining ⚗️Knowledge Distillation

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models 🤖LLM

Domain-Adapted Fine-Tuning of ECG Foundation Models for Multi-Label Structural Heart Disease Screening 🔢BitNet

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization 🤖LLM

FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving 🌍Distributed Systems

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs ✨LLMs

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