Search Results for author:
Found 6 papers, 4 papers with code
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
Multimodal large language models (MLLMs) have shown great potential in perception and interpretation tasks, but their capabilities in predictive reasoning remain under-explored.
AutoAgents: A Framework for Automatic Agent Generation
Therefore, we introduce AutoAgents, an innovative framework that adaptively generates and coordinates multiple specialized agents to build an AI team according to different tasks.
LLaSM: Large Language and Speech Model
In this work, we propose Large Language and Speech Model (LLaSM).
Chinese Open Instruction Generalist: A Preliminary Release
Instruction tuning is widely recognized as a key technique for building generalist language models, which has attracted the attention of researchers and the public with the release of InstructGPT~\citep{ouyang2022training} and ChatGPT\footnote{\url{https://chat. openai. com/}}.
P-ODN: Prototype based Open Deep Network for Open Set Recognition
Predictors for new categories are added to the classification layer to "open" the deep neural networks to incorporate new categories dynamically.
ODN: Opening the Deep Network for Open-set Action Recognition
Most of the existing action recognition works hold the \textit{closed-set} assumption that all action categories are known beforehand while deep networks can be well trained for these categories.
