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Chang-Jiang Jiang

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#artificial intelligence Preprint Sep 2026

PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence

Optical Character Recognition (OCR) is evolving from plain-text transcription toward general visual intelligence, requiring models to recognize, localize, and reason over textual information in complex visual environments. However, existing OCR systems often excel at only some tasks and struggle to balance recognition,...

Guang-Zhan Huang, Yong-Shuo Zhang, Bing-Tao Fu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning

Search-augmented LLM agents are increasingly used for consumer decisions, making them vulnerable to Generative Engine Optimization (GEO) poisoning. Existing benchmarks largely measure whether manipulated content is retrieved or endorsed, but do not track whether an agent verifies suspicious evidence, revises adopted cl...

Zhong-An Bi, Qi-Wen Wang, Jian-Rong Jiang et al. · 1 citation
Preprint Aug 2026

UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models

Sparse mixture-of-experts (MoE) layers expand recommendation capacity through conditional computation, yet a trained checkpoint still stores and routes over its full expert bank. We study a deployment problem: convert that checkpoint to a smaller standard MoE under an explicit expert budget, without adding a compressio...

Lei Xin, Bin Gu, Peize Li et al. · 3 citations
Preprint Aug 2026

Think with Structured Grounding: Perceptual Reinforcement Learning for Chart and Visual-Tabular Understanding

Think with Structured Grounding (TwSG), a novel fine-grained image perception framework designed to internalize complex images's tool-use capabilities within the model, is proposed, endowing models with native fine-grained region description and flexible reasoning capabilities.

Chang-Jiang Jiang, Qiannian Zhao, Lei Xin et al. · 2 citations

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