Large Language Model
Zero-Shot Transfer of Neural ODEs
This challenge necessitates new mathematical and algorithmic tools that enable adaptation and zero-shot transfer.
Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting
In detail, we utilize foundation visual perception models to obtain each generated object from the image and leverage pre-trained depth estimation models to lift the generated 2D image to 3D space.
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Models (LLMs) in collaborating with external data, yet significant challenges exist in real-world scenarios. In areas such as academic literature and finance question answering, data are often found in raw text and tables in HTML or PDF formats, which can be lengthy and highly unstructured.
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
The framework enhances Large Language Models' (LLMs) embodied reasoning capabilities by efficiently exploring
Evaluate Large Language Model as Critic
Critique ability, i.e., the capability of Large Language Models (LLMs) to identify
