11 papers
DD-RNO: A Domain-Decomposed Routed Neural Operator for Airfoil Flow Prediction
T. A. Mehta, P. S. Bhati, H. D. Akolekar
Deep learning surrogates for RANS flow prediction around airfoils face two persistent bottlenecks. A single neural architecture cannot simultaneously resolve sharp near-wall bounda…
FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation
Yinghao Tang, Tan Zhenwei, Yiyao Wang +4
Large language models can produce fluent financial analysis, but fluency alone does not establish whether a report is suitable for institutional delivery. We introduce FinReportBen…
LiveEvalBench: Toward Open-World Evaluation for Web Generation
Yiyao Wang, Zhen Wen, Yinghao Tang +5
Large language models are increasingly capable of synthesizing executable frontend projects, yet existing benchmarks still treat web generation as a static evaluation problem. We a…
sketch-plot: Progressive Editing for Text-to-Image Academic Figures
Yinghao Tang, Yupeng Xie, Yingchaojie Feng +3
Text to image (T2I) models such as gpt-image-2 can now generate publication grade academic figures from a short prompt, but the output is a flat raster: a user who wants to change…
Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation
Yinghao Tang, Yupeng Xie, Yingchaojie Feng +3
Large language models can translate a researcher's intent into runnable matplotlib code, yet the resulting chart rarely lands in a paper without multiple rounds of manual revision.…
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
Yinghao Tang, Xueding Liu, Boyuan Zhang +13
Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) mod…