Actualités
READoc: A Unified Benchmark for Realistic Document Structured Extraction
arXiv:2409.05137v3 Announce Type: replace Abstract: Document Structured Extraction (DSE) aims to extract structured content from...
Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation
arXiv:2510.06605v2 Announce Type: replace-cross Abstract: The substantial investment required to develop Large Language Models (LLMs)...
Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers
arXiv:2510.13939v1 Announce Type: new Abstract: The use of copyrighted books for training AI models has...
Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
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
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
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
arXiv:2601.04411v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a simple but...
Raising the quality of insights in agentic analytics
In just a few years, generative AI has changed the face of enterprise analytics, notably...
RAG-based Architectures for Drug Side Effect Retrieval in LLMs
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
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
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
arXiv:2311.18681v3 Announce Type: replace-cross Abstract: Conversational AI tools that can generate and discuss clinically correct...
