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Zirui Shao

9 accepted papers

2026

REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment

ICML 2026poster

Knowledge-intensive Visual Question Answering (KI-VQA) frequently suffers from severe knowledge conflicts caused by the inherent limitations of open-domain retrieval. However, existing paradigms face critical limitations, including the lack of generalizable conflict detection and intra-model constra…

Cited by 0SourceScholar
2025

A Simple yet Effective Layout Token in Large Language Models for Document Understanding

CVPR 2025poster

Recent methods that integrate spatial layouts with text for document understanding in large language models (LLMs) have shown promising results. A commonly used method is to represent layout information as text tokens and interleave them with text content as inputs to the LLMs. However, such a metho…

Cited by 0SourcePDFScholar
2025

BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks

EMNLP 2025

Braille plays a vital role in education and information accessibility for visually impaired individuals. However, Braille information processing faces challenges such as data scarcity and ambiguities in mixed-text contexts. We construct English and Chinese Braille Mixed Datasets (EBMD/CBMD) with mat

2025

Intelligent Document Parsing: Towards End-to-end Document Parsing via Decoupled Content Parsing and Layout Grounding

EMNLP 2025

In the daily work, vast amounts of documents are stored in pixel-based formats such as images and scanned PDFs, posing challenges for efficient database management and data processing. Existing methods often fragment the parsing process into the pipeline of separated subtasks on the layout element l

Cited by 0SourcePDFScholar
2025

Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding

EMNLP 2025

Multimodal large language models (MLLMs) have shown impressive capabilities in document understanding, a rapidly growing research area with significant industrial demand. As a multimodal task, document understanding requires models to possess both perceptual and cognitive abilities. However, due to

Cited by 0SourcePDFScholar
2025

MP-GUI: Modality Perception with MLLMs for GUI Understanding

CVPR 2025poster

Graphical user interface (GUI) has become integral to modern society, making it crucial to be understood for human-centric systems. However, unlike natural images or documents, GUIs comprise artificially designed graphical elements arranged to convey specific semantic meanings. Current multi-modal l…

2024

DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing

EMNLP 2024main

Parsing documents from pixels, such as pictures and scanned PDFs, into hierarchical structures is extensively demanded in the daily routines of data storage, retrieval and understanding. However, previously the research on this topic has been largely hindered since most existing datasets are small-s…

2024

WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation

ECCV 2024poster

"In the era of content creation revolution propelled by advancements in generative models, the field of web design remains unexplored despite its critical role in modern digital communication. The web design process is complex and often time-consuming, especially for those with limited expertise. In…

2023

GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree

EMNLP 2023long main

Inexhaustible web content carries abundant perceptible information beyond text. Unfortunately, most prior efforts in pre-trained Language Models (LMs) ignore such cyber-richness, while few of them only employ plain HTMLs, and crucial information in the rendered web, such as visual, layout, and style…

Cited by 0SourceScholar