3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
GramLoop is introduced, a training-free framework that replays a short transformer window and controls each replay through final-layer cosine-Gram consistency, which improves object detection and semantic segmentation under corruptions, perturbations, and natural shifts.
A training-free looping framework that repeatedly applies selected transformer layers inside each denoising call is introduced, which improves primary and auxiliary quality metrics with competitive quality--efficiency trade-offs across two Scale-RAE model scales.
OODA-Tool, a typed closed-loop policy designed to mitigate state preservation from action realization, consistently improves task success across model sizes, with larger gains on smaller models and on tasks whose actions depend strongly on information accumulated across turns and prior tool results.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
