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Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
arXiv:2512.20634v1 Announce Type: cross Abstract: Catastrophic forgetting remains a fundamental challenge in continual learning for...
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...
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...
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...
RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs
TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL...
R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch
Large Language Models (LLMs) have revolutionized fields from natural language understanding to reasoning and code...
