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cs.CL2024
Navigate Complex Physical Worlds via Geometrically Constrained LLM
Yongqiang Huang, Wentao Ye, Liyao Li +1
This study investigates the potential of Large Language Models (LLMs) for reconstructing and constructing the physical world solely based on textual knowledge. It explores the impa…
cs.CV2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai, Sai Wu, Jie Song +2
As a fundamental problem in transfer learning, model selection aims to rank off-the-shelf pre-trained models and select the most suitable one for the new target task. Existing mode…