arXiv:2512.23994v2 Announce Type: replace-cross
Abstract: Text-to-audio-video (T2AV) generation is central to applications such as filmmaking and world modeling. However, current models often fail to produce physically plausible sounds. Previous bench…
arXiv:2603.11519v3 Announce Type: replace-cross
Abstract: Digital handwriting acquisition enables the capture of detailed temporal and kinematic signals reflecting the motor processes underlying writing behavior. While handwriting analysis has been ex…
arXiv:2601.05930v2 Announce Type: replace-cross
Abstract: Autonomous machine learning agents have revolutionized scientific discovery, yet they remain constrained by a Generate-Execute-Feedback paradigm. Previous approaches suffer from a severe Execut…
arXiv:2604.04941v1 Announce Type: new
Abstract: Many combinatorial optimisation problems hide algebraic structures that, once exposed, shrink the search space and improve the chance of finding the global optimal solution. We present a general framewor…
arXiv:2604.05621v1 Announce Type: new
Abstract: We present FunRec, a method for reconstructing functional 3D digital twins of indoor scenes directly from egocentric RGB-D interaction videos. Unlike existing methods on articulated reconstruction, which…
arXiv:2604.04940v1 Announce Type: new
Abstract: Designing effective heuristics for NP-hard combinatorial optimization problems remains a challenging and expertise-intensive task. Existing applications of large language models (LLMs) primarily rely on …
arXiv:2601.05905v2 Announce Type: replace-cross
Abstract: As Large Language Models (LLMs) are increasingly deployed in real-world settings, correctness alone is insufficient. Reliable deployment requires maintaining truthful beliefs under contextual p…
arXiv:2604.05550v1 Announce Type: new
Abstract: Artificial intelligence research increasingly depends on prolonged cycles of reproduction, debugging, and iterative refinement to achieve State-Of-The-Art (SOTA) performance, creating a growing need for …
New York, United States: Minimus, a provider of hardened and secure container images designed to mitigate CVE risk, today announced the appointment of Yael Nardi as Chief Business Officer (CBO). In this newly created role, Nardi …
Nvidia’s recent acquisition of SchedMD, the company behind the Slurm workload manager, is raising concerns among AI industry executives and supercomputing specialists who fear the chip giant could use its new position to favour i…