activity
20242026
most citedDataLab: A Unified Platform for LLM-Powered Business Intelligence

3 citations · 4 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.LG2026

Intern-S2-Preview: Scientific Agentic Foundation Model

Lei Bai, Jiaqi Cao, Chiyu Chen +121

Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sus…

cs.CL2026

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…

cs.AI2026

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…

cs.HC2026

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…

cs.HC2026

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.…

cs.HC2026

ViviDoc: Generating Interactive Documents through Human-Agent Collaboration

Yinghao Tang, Yupeng Xie, Yingchaojie Feng +4

Interactive documents help readers engage with complex ideas through dynamic visualization, interactive animations, and exploratory interfaces. However, creating such documents rem…

cs.CL2026

Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration

Yinghao Tang, Yupeng Xie, Yingchaojie Feng +2

Interactive articles help readers engage with complex ideas through exploration, yet creating them remains costly, requiring both domain expertise and web development skills. Recen…

cs.LG2026

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…