For An Exciting Tomorrow
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 –…
arXiv:2512.17370v2 Announce Type: replace-cross Abstract: Existing end-to-end autonomous driving methods typically rely on imitation learning (IL) but face a key…
arXiv:2512.19011v1 Announce Type: cross Abstract: Prompt injection and jailbreaking attacks pose persistent security challenges to large language model (LLM)-based systems.…
arXiv:2512.19007v1 Announce Type: cross Abstract: This report summarizes the 6th International Verification of Neural Networks Competition (VNN-COMP 2025), held as…
arXiv:2511.21417v2 Announce Type: replace Abstract: In pseudo-boolean solving the currently most successful unit propagation strategy is a hybrid mode combining…