4 papers · 1 filter
Inside VLM Chart Reading: Tracing Value Reading from Vertical Bar Charts Across Space and Depth
Tianhao Niu, Qingfu Zhu, Wanxiang Che
Vision--language models (VLMs) can answer chart questions accurately, but output accuracy does not show how they combine the evidence needed to recover an exact value. We study ver…
What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation
Tianhao Niu, Qingfu Zhu, Wanxiang Che
Chart-to-code generation is commonly trained through supervised fine-tuning on reference plotting scripts, implicitly treating the gold code as a fully observable target. However,…
When Does Language Matter? Multilingual Instructions Reveal Step-wise Language Sensitivity in Vision-Language-Action Models
Xuan Dong, Zhe Han, Tianhao Niu +2
Vision-Language-Action (VLA) models have shown strong performance in language-conditioned robotic manipulation, yet their robustness to linguistic variation remains poorly understo…
EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents
Xuan Dong, Huanyang Zheng, Tianhao Niu +7
Scientific research follows multi-turn, multi-step workflows that require proactively searching the literature, consulting figures and tables, and integrating evidence across paper…