Papers by Sarthak Ketanbhai Modi
Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding (2026.acl-long)
Copied to clipboard
Jianzhu Bao, Haozhen Zhang, Kuicai Dong, Bozhi Wu, Sarthak Ketanbhai Modi, Zi Pong Lim, Yon Shin Teo, Wenya Wang
| Challenge: | Chart understanding is a critical capability for vision-language models, serving as a cornerstone for automated data analysis, document understanding, and scientific research. |
| Approach: | They propose a chart-efficient training framework to enhance counterfactual sensitivity by code modification and a similarity-based data selection strategy. |
| Outcome: | The proposed framework achieves superior or comparable performance to strong chart-specific VLMs while using significantly less training data. |