2 papers
cs.AI2025
NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
Zihao Deng, Yijia Li, Renrui Zhang +1
Cognitive computing models offer a formal and interpretable way to characterize human's deliberation and decision-making, yet their development remains labor-intensive. In this pap…
cs.CV2025
Unlearning the Noisy Correspondence Makes CLIP More Robust
Haochen Han, Alex Jinpeng Wang, Peijun Ye +1
The data appetite for Vision-Language Models (VLMs) has continuously scaled up from the early millions to billions today, which faces an untenable trade-off with data quality and i…