2 citations · 2 across the 11 of their papers we have counts for
8 papers · 1 filter
Data World: Scaling Data Environments from Scratch
Zhanli Li, Zeyuan Xu, Chaoxu Pang +16
Data agents use code to process heterogeneous files and derive analytical insights. Scaling their training faces costly environment curation, privacy and intellectual-property rest…
Latent-Aligned Reasoning for Multimodal Recommendation
Jiarui Jin, Anyang Ji
Multimodal Vision-Language Models (VLMs) have demonstrated remarkable capabilities in cross-modal understanding, yet a fundamental challenge persists when applying them to recommen…
CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions
Tsung-Han Wu, Heekyung Lee, Anya Ji +4
Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose problems into intermediate steps. While CoT is widely effectiv…
OvisOCR2 Technical Report
Shiyin Lu, Yinglun Li, Yu Xia +10
We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: given a document page image, it generates a Markdown representation in natural r…
Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
Anya Ji, Abhijith Varma Mudunuri, David M. Chan +1
While recent vision-language models (VLMs) have achieved significant improvements on static visual-to-code tasks such as generating code for webpages, charts, or SVGs, it remains u…
DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching
Meng Chen, Anya Ji, Tsung-Han Wu +4
Agents are increasingly capable of automating software tasks, but can they teach humans how to use software themselves? We introduce DigitalCoach, a multimodal dataset of 72 human…
ScribbleEdit: Synthetic Data for Image Editing with Scribbles and Text
Anya Ji, George Ma, Téa Wright +4
Recent progress in generative models has significantly advanced image editing capabilities, yet precise and intuitive user control remains difficult. Specifically, users often stru…
TopBench: A Benchmark for Implicit Predictive Reasoning in Tabular Question Answering
An-Yang Ji, Jun-Peng Jiang, De-Chuan Zhan +1
Large Language Models (LLMs) have advanced Table Question Answering, where most queries can be answered by extracting information or simple aggregation. However, a common class of…