Methodology
pewresearch.org·21h
📊Statistical Ranking
Show HN: A rain Pomodoro with brown noise, ASMR, and Middle Eastern music
forgetoolz.com·18h·
Discuss: Hacker News
💨Tailwind
Beyond the Prototype: 15 Hard-Earned Lessons to Ship Production-Ready AI Agents
hackernoon.com·15h
🪄Prompt Engineering
Show HN: Sumble – knowledge graph for GTM data – query tech stack, key projects
sumble.com·20h·
Discuss: Hacker News
🔄LLM RAG Pipelines
Show HN: Stackrover: I wrote a new JavaScript manual and built an app around it
apps.apple.com·20h·
Discuss: Hacker News
🔎Tantivy
Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
arxiv.org·8h
📊Embeddings
The Generalization Ridge: Information Flow in Natural Language Generation
arxiv.org·8h
🧠LLM Inference
OpenFActScore: Open-Source Atomic Evaluation of Factuality in Text Generation
arxiv.org·8h
📋Text Quality
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
arxiv.org·8h
📊Statistical Ranking
Multi-Modal Face Anti-Spoofing via Cross-Modal Feature Transitions
arxiv.org·8h
🧮LSH
Energy-Based Transformers are Scalable Learners and Thinkers
lesswrong.com·22h
🧠LLM Inference
How to Evaluate Automatic Speech Recognition: Comparing Different Performance and Bias Measures
arxiv.org·8h
🔍Information Retrieval
News Source Citing Patterns in AI Search Systems
arxiv.org·8h
🏆Ranking
Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
arxiv.org·8h
👤Search Personalization
CAST-Phys: Contactless Affective States Through Physiological signals Database
arxiv.org·8h
🕯️Candle
Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation
arxiv.org·8h
🔢BitNet
MusiScene: Leveraging MU-LLaMA for Scene Imagination and Enhanced Video Background Music Generation
arxiv.org·8h
🎭Claude
A Wireless Foundation Model for Multi-Task Prediction
arxiv.org·8h
📱Edge Computing
Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)
arxiv.org·8h
👨‍💻AI Coding
Beyond classical and contemporary models: a transformative ai framework for student dropout prediction in distance learning using rag, prompt engineering, and c...
arxiv.org·8h
🔍AI Interpretability