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Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game develo...
Using reinforcement learning to post-train joint video-audio generation models requires a reward signal. Existing met...
Anticipating how scenes evolve under ego actions is fundamental to safe autonomous driving, yet the full potential of...
Object detection models deployed in safety-critical applications remain vulnerable to backdoor attacks that cause tar...
Multi-teacher on-policy distillation (M-OPD) has emerged as a promising paradigm for consolidating domain-specialized...
Time series imputation is a crucial area for reliable time series analysis, yet it remains challenging due to the com...
Improving molecular properties, such as drug-likeness or binding affinity, is a recurring task in early-stage drug di...
When an expert corrects an LLM assistant's error, the correction usually dies with the session, and the error class r...
A gradient-boosted ensemble predicts by summing one leaf value per tree. Read those values as coordinates rather than...
Frontier language models are compared, marketed, and benchmarked on capability -- what their best or average output c...
Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable ...
Language-model agents can communicate through continuous hidden states that are invisible in public transcripts, crea...