2 papers
cs.CL2025
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
Li Li, Ziyi Wang, Yongliang Wu +2
Chain-of-Thought (CoT) prompting has emerged as a powerful approach to enhancing the reasoning capabilities of Large Language Models (LLMs). However, existing implementations, such…
cs.CV2025
L-CLIPScore: a Lightweight Embedding-based Captioning Metric for Evaluating and Training
Li Li, Yingzhe Peng, Xu Yang +4
We propose a novel embedding-based captioning metric termed as L-CLIPScore that can be used for efficiently evaluating caption quality and training captioning model. L-CLIPScore is…