POPE

Large-scale Multi-modality Models Evaluation Suite Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval 🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets This Dataset This is a formatted version of POPE. It is used in our lmms-eval pipeline to allow for one-click evaluations of

Papers using POPE (4)

The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages2026NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors2026Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning2026ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way2025