For An Exciting Tomorrow
arXiv:2512.20260v1 Announce Type: cross Abstract: Weakly-Supervised Camouflaged Object Detection (WSCOD) aims to locate and segment objects that are visually concealed…
arXiv:2511.16193v3 Announce Type: replace-cross Abstract: Rollout dominates the training time in large language model (LLM) post-training, where the trained model…
arXiv:2512.19025v2 Announce Type: replace-cross Abstract: Machine unlearning aims to remove specific data influences from trained models, a capability essential for…
arXiv:2512.20363v1 Announce Type: cross Abstract: Federated learning (FL) supports privacy-preserving, decentralized machine learning (ML) model training by keeping data on…
arXiv:2512.20352v1 Announce Type: cross Abstract: Qualitative research faces a critical reliability challenge: traditional inter-rater agreement methods require multiple human coders,…
arXiv:2512.19707v1 Announce Type: cross Abstract: The benefits of artificial intelligence (AI) human partnerships-evaluating how AI agents enhance expert human performance-are…
arXiv:2507.12898v4 Announce Type: replace-cross Abstract: Scaling general-purpose manipulation to new robot embodiments remains challenging: each platform typically needs large, homogeneous…
arXiv:2512.06951v2 Announce Type: replace-cross Abstract: We present a vision-action policy that won 1st place in the 2025 BEHAVIOR Challenge –…