Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists Paper • 2607.11079 • Published 5 days ago • 6
Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Paper • 2607.12463 • Published 4 days ago • 95
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models Paper • 2606.19297 • Published about 1 month ago • 78
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 239
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards Paper • 2605.21467 • Published May 20 • 207
Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers Paper • 2605.06169 • Published May 7 • 238
CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence Paper • 2605.12882 • Published May 13 • 274
Learning, Fast and Slow: Towards LLMs That Adapt Continually Paper • 2605.12484 • Published May 12 • 18
SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Paper • 2411.18966 • Published May 4 • 9
Cross-Tokenizer LLM Distillation through a Byte-Level Interface Paper • 2604.07466 • Published Apr 13 • 7
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Paper • 2604.20796 • Published Apr 22 • 245
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time Paper • 2604.11626 • Published Apr 13 • 103
OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Paper • 2604.08209 • Published Apr 9 • 27
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 509
Density-aware Soft Context Compression with Semi-Dynamic Compression Ratio Paper • 2603.25926 • Published Mar 26 • 8