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simplecloud/VidChain-exercise

✏️ Data for VidChain Excercise VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning Ji Soo Lee*, Jongha Kim*, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim†. AAAI 2025 🎯 Learning Objectives By working through this exercise, you will: Reproduce baseline behavior of a video-language model (VTimeLLM, CVPR 2024 Highlight). Observe the limitations of existing approaches in temporal… See the full description on the dataset page: https://huggingface.co/datasets/simplecloud/VidChain-exercise.

sourceHugging Faceupdated 1y agoView on Hugging Face
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__init__.py2 linesDownload Raw Back to model
1from .vtimellm_llama import VTimeLLMLlamaForCausalLM2from .vtimellm_chatglm import VTimeLLMChatGLMForCausalLM
simplecloud/VidChain-exercise · CoolFace