2 papers
cs.CV2026
AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models
Hazza Mahmood, Yongqiang Yu, Rao Anwer
Accurate and interpretable plant disease diagnosis remains a major challenge for vision-language models (VLMs) in real-world agriculture. We introduce AgriChain, a dataset of appro…
cs.AI2026
User-Feedback-Driven Adaptation for Vision-and-Language Navigation
Yongqiang Yu, Xuhui Li, Hazza Mahmood +6
Real-world deployment of Vision-and-Language Navigation (VLN) agents is constrained by the scarcity of reliable supervision after offline training. While recent adaptation methods…