Large Language Model
Unified Generative and Discriminative Training for Multi-modal Large Language Models Wei Chow
In recent times, Vision-Language Models (VLMs) have been trained under two predominant paradigms.
SnapKV: LLM Knows What You Are Looking for before Generation Y uhong Li1 Yingbing Huang 1 Bowen Y ang 2 Bharat V enkitesh
To validate the robustness, we design extensive experiments across diverse prompts in terms of length, format, and content.
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Can't wait to see the second movie! The first two lines are two demonstrations, and the third line is a test input.
MINEDOJO: BuildingOpen-Ended EmbodiedAgentswithInternet-ScaleKnowledge
These embodied agents are typically trainedtabula rasain isolated worlds with limited complexity and diversity. Although highly performant, theyare specialist models that do not generalize beyond a narrowsetoftasks.