v1v2 (latest)

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis

30 April 2025

Papers citing "Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis"

21 / 21 papers shown

Title
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records Seorin Kim Julien Baudru Wouter Ryckbosch Hugues Bersini Vincent Ginis LMTD 66 4 0 20 Jan 2025
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding Yixiong Fang Ziran Yang Zhaorun Chen Zhuokai Zhao Jiawei Zhou MLLM UQCV 101 7 0 09 Dec 2024
GPT-4o System Card OpenAI OpenAI : Aaron Hurst Adam Lerer Adam P. Goucher ... Yuchen He Yuchen Zhang Yujia Jin Yunxing Dai Yury Malkov MLLM 248 1,039 0 25 Oct 2024
Scrambled text: training Language Models to correct OCR errors using synthetic data Jonathan Bourne SyDa 82 2 0 29 Sep 2024
Post-OCR Text Correction for Bulgarian Historical Documents Angel Beshirov Milena Dobreva Dimitar Dimitrov Momchil Hardalov Ivan Koychev Preslav Nakov 62 1 0 31 Aug 2024
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions Xunzhi Wang Zhuowei Zhang Qiongyu Li Gaonan Chen Mengting Hu Zhixin Han Bitong Luo Zhiyu li Hang Gao Mengting Hu ELM 107 3 0 18 Jun 2024
Notes on Applicability of GPT-4 to Document Understanding Lukasz Borchmann VLM 85 7 0 28 May 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? G. Yona Roee Aharoni Mor Geva HILM 101 32 0 27 May 2024
Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries Adam Yang Chen Chen Konstantinos Pitas 63 12 0 22 May 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering Zaid Khan Yun Fu AAML 83 10 0 16 Apr 2024
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More Jiazhou Zhou Xueye Zheng Yuanhuiyi Lyu Lin Wang 135 22 0 19 Mar 2024
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval Hao Li Marie-Jeanne Lesot Lianli Gao Xiaosu Zhu Christophe Marsala EDL 78 15 0 29 Sep 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 84 4 0 01 Jul 2023
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs Miao Xiong Zhiyuan Hu Xinyang Lu Yifei Li Jie Fu Junxian He Bryan Hooi 230 451 0 22 Jun 2023
Improved Probabilistic Image-Text Representations Sanghyuk Chun VLM 116 31 0 29 May 2023
Uncertainty-Aware Image Captioning Zhengcong Fei Mingyuan Fan Li Zhu Junshi Huang Xiaoming Wei Xiaolin K. Wei UQLM 69 13 0 30 Nov 2022
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model Yatai Ji Junjie Wang Yuan Gong Lin Zhang Yan Zhu Hongfa Wang Jiaxing Zhang Tetsuya Sakai Yujiu Yang MLLM 82 33 0 11 Oct 2022
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition Gaurav Patel J. Allebach Qiang Qiu UQLM 113 17 0 31 Aug 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 105 23 0 14 Jul 2022
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Yue Liu Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 93 51 0 27 Jul 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 521 210 0 13 Jan 2021