1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning
Zimu Lu, Aojun Zhou, Ke Wang +5
Direct Preference Optimization (DPO) has proven effective at improving the performance of large language models (LLMs) on downstream tasks such as reasoning and alignment. In this…
cs.CV2024★ 1 cited
GroundingGPT:Language Enhanced Multi-modal Grounding Model
Zhaowei Li, Qi Xu, Dong Zhang +9
Multi-modal large language models have demonstrated impressive performance across various tasks in different modalities. However, existing multi-modal models primarily emphasize ca…