Copertina

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Semnani, Sina J., Zhang, Han, He, Xinyan, Tekgürler, Merve, Lam, Monica S.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models
di: Tekgurler, Merve
Pubblicazione: (2025)

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
di: Semnani, Sina J., et al.
Pubblicazione: (2023)

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing
di: Zhang, Heidi C., et al.
Pubblicazione: (2024)

Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
di: Semnani, Sina J., et al.
Pubblicazione: (2025)

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
di: Liu, Shicheng, et al.
Pubblicazione: (2023)

Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification
di: Githinji, P. Bilha, et al.
Pubblicazione: (2025)

Emergence of Text Readability in Vision Language Models
di: Park, Jaeyoo, et al.
Pubblicazione: (2025)

SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
di: Liu, Shicheng, et al.
Pubblicazione: (2024)

LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World
di: Semnani, Sina J., et al.
Pubblicazione: (2025)

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
di: Jiang, Yucheng, et al.
Pubblicazione: (2024)

CAIRNS: Balancing Readability and Scientific Accuracy in Climate Adaptation Question Answering
di: Kong, Liangji, et al.
Pubblicazione: (2025)

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval
di: Furumai, Kazuaki, et al.
Pubblicazione: (2024)

Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
di: Day, Stephanie L., et al.
Pubblicazione: (2025)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
di: Li, Zihao, et al.
Pubblicazione: (2023)

HATFormer: Historic Handwritten Arabic Text Recognition with Transformers
di: Chan, Adrian, et al.
Pubblicazione: (2024)

A Brief History of Named Entity Recognition
di: Munnangi, Monica
Pubblicazione: (2024)

The Use of Readability Metrics in Legal Text: A Systematic Literature Review
di: Han, Yu, et al.
Pubblicazione: (2024)

Named Entity Recognition of Historical Texts via Large Language Model
di: Zhang, Shibingfeng, et al.
Pubblicazione: (2025)

The Accuracy, Robustness, and Readability of LLM-Generated Sustainability-Related Word Definitions
di: Heiman, Alice
Pubblicazione: (2025)

Exploring Linguistic Features for Turkish Text Readability
di: Uluslu, Ahmet Yavuz, et al.
Pubblicazione: (2023)

Measuring and Modifying the Readability of English Texts with GPT-4
di: Trott, Sean, et al.
Pubblicazione: (2024)

Glitter: Visualizing Lexical Surprisal for Readability in Administrative Texts
di: Černý, Jan, et al.
Pubblicazione: (2026)

An Open Multilingual System for Scoring Readability of Wikipedia
di: Trokhymovych, Mykola, et al.
Pubblicazione: (2024)

Prompt-based Learning for Text Readability Assessment
di: Lee, Bruce W., et al.
Pubblicazione: (2023)

Low Cost, High Efficiency: LiDAR Place Recognition in Vineyards with Matryoshka Representation Learning
di: Vilella-Cantos, Judith, et al.
Pubblicazione: (2026)

Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost
di: Belyi, Masha, et al.
Pubblicazione: (2024)

Readability Measures and Automatic Text Simplification: In the Search of a Construct
di: Cardon, Rémi, et al.
Pubblicazione: (2025)

Making History Readable
di: Banerjee, Bipasha, et al.
Pubblicazione: (2024)

Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
di: Do, Thao, et al.
Pubblicazione: (2024)

Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models
di: Li, Sijie, et al.
Pubblicazione: (2026)

UNIT: Unifying Image and Text Recognition in One Vision Encoder
di: Zhu, Yi, et al.
Pubblicazione: (2024)

Towards Non-Latin Text and Layout Personalization for Enhanced Readability
di: Buoy, Rina, et al.
Pubblicazione: (2026)

Peepers & Pixels: Human Recognition Accuracy on Low Resolution Faces
di: Merino, Xavier, et al.
Pubblicazione: (2025)

Simple is not Enough: Document-level Text Simplification using Readability and Coherence
di: Vásquez-Rodríguez, Laura, et al.
Pubblicazione: (2024)

Large Language Models for Healthcare Text Classification: A Systematic Review
di: Sakai, Hajar, et al.
Pubblicazione: (2025)

RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts
di: Ji, Yuelyu, et al.
Pubblicazione: (2024)

Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models
di: Farajidizaji, Asma, et al.
Pubblicazione: (2023)

ViT-Transformer: Self-attention mechanism based constitutive modeling for nonlinear heterogeneous materials
di: Zhou, Yijing, et al.
Pubblicazione: (2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
di: Deitke, Matt, et al.
Pubblicazione: (2024)

Making AI Compliance Evidence Machine-Readable
di: Ugarte, Rodrigo Cilla, et al.
Pubblicazione: (2026)