We build our dataset from triangu-lated meshes derived from Objaverse-XL and Thingi10K datasets.

For image editing, it also excels in complex editing tasks. 2 Therefore, it is nearly impossible for a well-trained model to meet all human requirements, and the

These attacks allow an adversary to cause an otherwise "aligned" model--that typically refuses requests such as "how do I build a bomb?" or "swear at me!"--to comply with such requests, or

The objective of dataset condensation is to ensure that the model trained with the synthetic dataset can perform comparably to the model trained with full datasets. However, existing methods predominantly concentrate on classification tasks, posing challenges in their adaptation to time series forecasting (TS-forecasting).

Transformer-based autoregressive sampling has been the major bottleneck for slowing down large language model inferences.

We provide a persistent dereferenceable identifier DOI: https://doi.org/10.57967/hf/2530. RK retrieval datasets are under license CC-BY -4.0 as stated in our website. We will maintain our GitHub repository will pull requests and open issues. Code: We have provided the complete codebase in our GitHub repository. Evaluation Procedures: All evaluation procedures are thoroughly documented.

These advancements have been enabled in part by the availability of benchmarks.

However, there's a lack of insight into how these models perform in terms