3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.SE2024★ 3 cited
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Cheng Yang, Chufan Shi, Yaxin Liu +11
We introduce a new benchmark, ChartMimic, aimed at assessing the visually-grounded code generation capabilities of large multimodal models (LMMs). ChartMimic utilizes information-i…
cs.CL2023
Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses
Mengjuan Liu, Chenyang Liu, Yunfan Yang +2
Recently, utilizing deep neural networks to build the opendomain dialogue models has become a hot topic. However, the responses generated by these models suffer from many problems…