2 citations · 4 across the 9 of their papers we have counts for
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cs.LG2024★ 1 cited
Aligning Large Language Models and Geometric Deep Models for Protein Representation
Dong Shu, Bingbing Duan, Kai Guo +3
Latent representation alignment has become a foundational technique for constructing multimodal large language models (MLLM) by mapping embeddings from different modalities into a…
cs.CL2024
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
Dong Shu, Mengnan Du
In-context learning can help Large Language Models (LLMs) to adapt new tasks without additional training. However, this performance heavily depends on the quality of the demonstrat…
cs.LG2024★ 2 cited
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
Bo Shu, Yiting Zhang, Saisai Hu +1
This report investigates the history and impact of Generative Models and Connected and Automated Vehicles (CAVs), two groundbreaking forces pushing progress in technology and trans…