Noticias
Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for Long Horizon LLM Agents
Recursive Language Models aim to break the usual trade off between context length, accuracy and...
Recognizing Limits: Investigating Infeasibility in Large Language Models
arXiv:2408.05873v3 Announce Type: replace Abstract: Large language models (LLMs) have shown remarkable performance in various...
Rebuilding the data stack for AI
Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest...
Reasoning Promotes Robustness in Theory of Mind Tasks
arXiv:2601.16853v1 Announce Type: cross Abstract: Large language models (LLMs) have recently shown strong performance on...
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...
