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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in...
arXiv:2512.09972v5 Announce Type: replace-cross Abstract: Navigating the capability–efficiency trade-off in Large Language Models (LLMs) requires approximating a high-quality Pareto set....
arXiv:2603.24231v2 Announce Type: replace Abstract: Stance detection is nearly always formulated as classifying text into Favor, Against, or Neutral. This...
In this tutorial, we build an embodied simulation vision agent that learns to perceive, plan, predict, and replan directly from...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in...
If you’ve ever watched a motion capture system struggle with a person’s fingers, or seen a segmentation model fail to...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in...
Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers
Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
Readability Formulas, Systems and LLMs are Poor Predictors of Reading Ease
RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping
Rate or Fate? RLV$^varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
RAG-based Architectures for Drug Side Effect Retrieval in LLMs
RAG Without Vectors: How PageIndex Retrieves by Reasoning
RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs
R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch
