4 citations · 5 across the 8 of their papers we have counts for
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cs.AI2025
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage
Xuanle Zhao, Zilin Sang, Yuxuan Li +7
Efficient reproduction of research papers is pivotal to accelerating scientific progress. However, the increasing complexity of proposed methods often renders reproduction a labor-…
cs.AI2025★ 1 cited
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
Xuanle Zhao, Xianzhen Luo, Qi Shi +4
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in chart understanding tasks. However, interpreting charts with textual descriptions often leads…
cs.AI2024★ 4 cited
Configurable Foundation Models: Building LLMs from a Modular Perspective
Chaojun Xiao, Zhengyan Zhang, Chenyang Song +20
Advancements in LLMs have recently unveiled challenges tied to computational efficiency and continual scalability due to their requirements of huge parameters, making the applicati…