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Jin Yao

2 accepted papers

2025

LabelAny3D: Label Any Object 3D in the Wild

NeurIPS 2025poster

Detecting objects in 3D space from monocular input is crucial for applications ranging from robotics to scene understanding. Despite advanced performance in the indoor and autonomous driving domains, existing monocular 3D detection models struggle with in-the-wild images due to the lack of 3D in-th…

Cited by 0SourceScholar
2024

Machine Unlearning of Pre-trained Large Language Models

ACL 2024long

This study investigates the concept of the ‘right to be forgotten’ within the context of large language models (LLMs). We explore machine unlearning as a pivotal solution, with a focus on pre-trained models–a notably under-researched area. Our research delineates a comprehensive framework for machin…