Self-Distilling Future Video Representations for World Action Models Paper • 2610.30320 • Published 10 days ago • 54
LaLa-World: Scaling Latent World Models with Natural Language Actions Paper • 2610.27851 • Published 10 days ago • 60
Speculative Forcing for Efficient Autoregressive Video Generation Paper • 2610.22347 • Published 16 days ago • 97
Learning Transferable World-Action Models from Task-Paired Human Videos Paper • 2610.14351 • Published 22 days ago • 12
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time Paper • 2606.15631 • Published Jun 14 • 17
Grounding World Simulation Models in a Real-World Metropolis Paper • 2603.15583 • Published Mar 16 • 156
Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction Paper • 2601.17668 • Published Jan 25 • 8
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models Paper • 2601.15220 • Published Jan 21 • 9
Model Stock: All we need is just a few fine-tuned models Paper • 2403.19522 • Published Mar 28, 2024 • 15
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction Paper • 2505.23416 • Published May 29, 2025 • 13