How to choose the right embedding model for your RAG application? | by Vivedha Elango | Sep, 2025 | Level Up Coding
levelup.gitconnected.comยท3h
๐Ÿ“ŠMulti-vector RAG
X Design Notes: Pattern Matching II
blog.polybdenum.comยท1d
๐Ÿ’ปProgramming languages
AI Evals: Why Generic Metrics Hurt Your Product
decodingml.substack.comยท3hยท
Discuss: Substack
๐Ÿ“Code Metrics
Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora
arxiv.orgยท10h
๐ŸŽ™๏ธWhisper
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving
arxiv.orgยท10h
๐ŸงฎSMT Solvers
ViLReF: An Expert Knowledge Enabled Vision-Language Retinal Foundation Model
arxiv.orgยท10h
๐Ÿค–Advanced OCR
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
arxiv.orgยท1d
๐Ÿ”คCharacter Classification
Propuesta de implementaci\'on de cat\'alogos federados para espacios de datos sobre DataHub
arxiv.orgยท10h
๐Ÿท๏ธMetadata Standards
SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing
arxiv.orgยท10h
๐Ÿ’ปLocal LLMs
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
arxiv.orgยท10h
๐Ÿ”จCompilers
Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
arxiv.orgยท1d
๐Ÿ”—Monadic Parsing
A global view of diverse construction methods of fuzzy implication functions rooted on F-chains
arxiv.orgยท10h
๐Ÿ”ขDenotational Semantics
The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology
arxiv.orgยท10h
๐Ÿค–Grammar Induction
ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions
arxiv.orgยท10h
๐Ÿ”จCompilers
Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
arxiv.orgยท10h
๐ŸŒ€Brotli Dictionary
LLM-Deflate: Extracting LLMs into Datasets
scalarlm.comยท3dยท
Discuss: Hacker News
๐Ÿ’ปLocal LLMs
A Scalable and Interoperable Platform for Transforming Building Information with Brick Ontology
arxiv.orgยท10h
๐Ÿ“šMARC Archaeology
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
arxiv.orgยท10h
๐ŸŽฏContent Recommendation
Checking extracted rules in Neural Networks
arxiv.orgยท10h
โ›๏ธProof Mining