Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
Ottobre 20, 2025admin NUAI,Committee,Notizie,Uncategorized(0)arXiv:2510.15345v1 Announce Type: new Abstract: Automatic readability assessment plays a key role in ensuring effective...
Readability Formulas, Systems and LLMs are Poor Predictors of Reading Ease
Novembre 5, 2025admin NUAI,Committee,Notizie,Uncategorized(0)arXiv:2502.11150v4 Announce Type: replace Abstract: Methods for scoring text readability have been studied for over...
RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping
Gennaio 31, 2026admin NUAI,Committee,Notizie,Uncategorized(0)arXiv:2501.04052v2 Announce Type: replace-cross Abstract: The recently introduced NVFP4 format demonstrates remarkable performance and memory...
Rate or Fate? RLV$^varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
Gennaio 9, 2026admin NUAI,Committee,Notizie,Uncategorized(0)arXiv:2601.04411v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a simple but...
RAG-based Architectures for Drug Side Effect Retrieval in LLMs
Luglio 21, 2025admin NUAI,Committee,Notizie,Uncategorized(0)arXiv:2507.13822v1 Announce Type: cross Abstract: Drug side effects are a major global health concern, necessitating...
RAG Without Vectors: How PageIndex Retrieves by Reasoning
Aprile 26, 2026admin NUAI,Committee,Notizie,Uncategorized(0)Retrieval is where most RAG systems quietly break. Traditional pipelines rely on vector similarity—embedding queries...
RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt
Febbraio 24, 2026admin NUAI,Committee,Notizie,Uncategorized(0)Large context windows have dramatically increased how much information modern language models can process in...
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
Maggio 8, 2025admin NUAI,Committee,Notizie,Uncategorized(0)arXiv:2311.18681v3 Announce Type: replace-cross Abstract: Conversational AI tools that can generate and discuss clinically correct...
RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs
Ottobre 9, 2025admin NUAI,Committee,Notizie,Uncategorized(0)TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL...
