4 papers
TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations
Mingze Gao, Jingyu Liu, Mingda Li +5
Multimodal Large Language Models (MLLMs) have significantly improved performance across various image-language applications. Recently, there has been a growing interest in adapting…
Conan-embedding: General Text Embedding with More and Better Negative Samples
Shiyu Li, Yang Tang, Shizhe Chen +1
With the growing popularity of RAG, the capabilities of embedding models are gaining increasing attention. Embedding models are primarily trained through contrastive loss learning,…
On the global complexity of a derivative-free Levenberg-Marquardt algorithm via orthogonal spherical smoothing
Xi Chen, Jinyan Fan
In this paper, we propose a derivative-free Levenberg-Marquardt algorithm for nonlinear least squares problems, where the Jacobian matrices are approximated via orthogonal spherica…
Evaluation of Bias Towards Medical Professionals in Large Language Models
Xi Chen, Yang Xu, MingKe You +3
This study evaluates whether large language models (LLMs) exhibit biases towards medical professionals. Fictitious candidate resumes were created to control for identity factors wh…