We have 3 of 8 papers
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.
This work proposes MATCH, a closed-loop framework for model-aware tool learning with curriculum scheduling and hierarchically gated rewards, and shows consistent improvements across four backbones from two model families.
The potential of vision-language models (VLMs) such as CLIP for zero-shot anomaly detection (ZSAD) is constrained by an inherent semantic-localization dichotomy. While CLIP’s global features excel at image-level classification, they lack the spatial sensitivity required for pixel-level segmentation. Existing approaches...
This work proposes Hint-Conditioned Generative Recommendation (HCGRec), a semantic-ID generative recommendation framework that recovers learning signal for such hard training instances and introduces hint-aware credit decomposition, using supervised learning to preserve item-semantic and prefix-structure alignment for...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
