activity
20242026
most citedGINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

7 citations · 7 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

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…

cs.CV2026

MSRAMIE: Multimodal Structured Reasoning Agent for Multi-instruction Image Editing

Zhaoyuan Qiu, Ken Chen, Xiangwei Wang +3

Existing instruction-based image editing models perform well with simple, single-step instructions but degrade in realistic scenarios that involve multiple, lengthy, and interdepen…

cs.AI2026

Building Autonomous GUI Navigation via Agentic-Q Estimation and Step-Wise Policy Optimization

Yibo Wang, Guangda Huzhang, Yuwei Hu +7

Recent advances in Multimodal Large Language Models (MLLMs) have substantially driven the progress of autonomous agents for Graphical User Interface (GUI). Nevertheless, in real-wo…

cs.CV2026

Deep But Reliable: Advancing Multi-turn Reasoning for Thinking with Images

Wenhao Yang, Yu Xia, Jinlong Huang +7

Recent advances in large Vision-Language Models (VLMs) have exhibited strong reasoning capabilities on complex visual tasks by thinking with images in their Chain-of-Thought (CoT),…

cs.RO2025

NL2SpaTiaL: Generating Geometric Spatio-Temporal Logic Specifications from Natural Language for Manipulation Tasks

Licheng Luo, Kaier Liang, Yu Xia +1

While Temporal Logic provides a rigorous verification framework for robotics, it typically operates on trajectory-level signals and does not natively represent the object-centric g…

cs.CR2025

SnapAudit: Active Auditing of Differentially Private In-Context Learning via Snapshot-Based Simulation

Yuyang Xia, Ruixuan Liu, Li Xiong

In-context learning (ICL) allows LLMs to adapt to new tasks via a few demonstrations, but those demonstrations may contain sensitive data. Differentially private (DP) ICL mechanism…

cs.CV2025

Ovis2.5 Technical Report

Shiyin Lu, Yang Li, Yu Xia +39

We present Ovis2.5, a successor to Ovis2 designed for native-resolution visual perception and strong multimodal reasoning. Ovis2.5 integrates a native-resolution vision transformer…

cs.CL2025

SciDA: Scientific Dynamic Assessor of LLMs

Junting Zhou, Tingjia Miao, Yiyan Liao +15

Advancement in Large Language Models (LLMs) reasoning capabilities enables them to solve scientific problems with enhanced efficacy. Thereby, a high-quality benchmark for comprehen…

cs.LG2025

Multimodal Tabular Reasoning with Privileged Structured Information

Jun-Peng Jiang, Yu Xia, Hai-Long Sun +6

Tabular reasoning involves multi-step information extraction and logical inference over tabular data. While recent advances have leveraged large language models (LLMs) for reasonin…

cs.LG2025

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization

Jiaqi Tang, Yu Xia, Yi-Feng Wu +9

The advent of autonomous agents is transforming interactions with Graphical User Interfaces (GUIs) by employing natural language as a powerful intermediary. Despite the predominanc…

cs.LG2024★ 7 cited

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Nisal Ranasinghe, Yu Xia, Sachith Seneviratne +1

Neural networks are powerful function approximators, yet their ``black-box" nature often renders them opaque and difficult to interpret. While many post-hoc explanation methods exi…