Skip a Layer or Loop It? Learning Program-of-Layers in LLMs Paper • 2606.06574 • Published 25 days ago • 24
view article Article How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent nvidia • 24 days ago • 66
Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World Paper • 2605.26086 • Published May 25 • 24
ResearchMath-14K: Scaling Research-Level Mathematics via Agents Paper • 2605.28003 • Published May 27 • 50
MolmoAct2 Models Collection Collection of the base models for MolmoAct2 • 6 items • Updated May 5 • 23
MolmoAct2 Finetuned Models Collection Collection of the fine-tuned models for MolmoAct2 • 7 items • Updated May 14 • 12
MolmoAct2: Action Reasoning Models for Real-world Deployment Paper • 2605.02881 • Published May 4 • 355
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation Paper • 2605.27366 • Published May 26 • 29
MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory Paper • 2605.15128 • Published May 14 • 64
view article Article Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality ibm-granite • May 14 • 33
ClawGym: A Scalable Framework for Building Effective Claw Agents Paper • 2604.26904 • Published Apr 29 • 54
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation Paper • 2604.21375 • Published Apr 23 • 19
ClawEnvKit: Automatic Environment Generation for Claw-Like Agents Paper • 2604.18543 • Published Apr 20 • 30
Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items Paper • 2604.19748 • Published Apr 21 • 252
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips Paper • 2502.07408 • Published Apr 16 • 59