TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models

Language models are few-shot learners

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Learning transferable visual models from natural language supervision

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Scaling instruction-finetuned language models

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A-okvqa: A benchmark for visual question answering using world knowledge

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Glm-130b: An open bilingual pre-trained model

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Qwen-vl: A frontier large vision-language model with versatile abilities

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Mistral 7b

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Video-bench: A comprehensive benchmark and toolkit for evaluating video-based large language models

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GPT-4V(ision) system card

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Gemini: a family of highly capable multimodal models

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Evaluating object hallucination in large vision-language models

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Judging llm-as-a-judge with mt-bench and chatbot arena

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Phi-3 technical report: A highly capable language model locally on your phone

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Mono-internvl: Pushing the boundaries of monolithic multimodal large language models with endogenous visual pre-training

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Gpt-4o system card

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Hello gpt-4o

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Grounded sam: Assembling open-world models for diverse visual tasks

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Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, Zhaoyang Zeng, Hao Zhang, Feng Li, Jie Yang, Hongyang Li, Qing Jiang, and Lei Zhang. 2024 · 2024

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Mm-math: Advancing multimodal math evaluation with process evaluation and fine-grained classification