Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·10h
🧮Kolmogorov Complexity
Portable Network Graphics (PNG) Specification (Third Edition)
w3.org·17h·
Discuss: Hacker News
🕸️WebP Analysis
davidchisnall/igk: I got Knuth'd: A compiler for documents
github.com·8h
📝Concrete Syntax
Mastering Malware Analysis: A SOC Analyst’s Guide to Dynamic Analysis with AnyRun
infosecwriteups.com·6h
🦠Malware Analysis
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·42m·
Discuss: DEV
🧠Machine Learning
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·18h·
Discuss: Hacker News
🔍Information Retrieval
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·25m
📊Graph Databases
Retrieval-Augmented Generation (RAG) System Architecture and Workflow
dev.to·14h·
Discuss: DEV
🔍Information Retrieval
PasteTrace: A Single Source Plagiarism Detection Tool For Introductory Programming Courses
arxiv.org·1d
🦀Rust Macros
A Survey on False Information Detection: From A Perspective of Propagation on Social Networks
arxiv.org·1d
📰Content Curation
Detect Narrative Threats with AI Personas
askrally.com·2d·
Discuss: Hacker News
📡Feed Archaeology
Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models
arxiv.org·1d
📄Text Chunking
A Principled Approach to Randomized Selection under Uncertainty
arxiv.org·10h
🌸Bloom Variants
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·11h·
Discuss: Hacker News
📲Digitization
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
arxiv.org·10h
🤖Advanced OCR
Semantic similarity estimation for domain specific data using BERT and other techniques
arxiv.org·1d
🔍Semantic Search
PDF Retrieval Augmented Question Answering
arxiv.org·1d
📊Multi-vector RAG
What LLMs Know About Their Users
schneier.com·3h
💻Local LLMs
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
arxiv.org·1d
📊Learned Metrics
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·1d
📊Feed Optimization