most citedStatistical Learning for OCR Text Correction

15 citations · 19 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2024

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations

Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Sastry +3

Despite their remarkable successes, state-of-the-art large language models (LLMs), including vision-and-language models (VLMs) and unimodal language models (ULMs), fail to understa…

cs.CL2024

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations

Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Sastry +3

Despite their remarkable successes, state-of-the-art language models face challenges in grasping certain important semantic details. This paper introduces the VISLA (Variance and I…

cs.CL20244 cited

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning

Maksym Taranukhin, Vered Shwartz, Evangelos Milios

Social media platforms are rich sources of opinionated content. Stance detection allows the automatic extraction of users' opinions on various topics from such content. We focus on…

cs.CL20234 cited

Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT

Aman Jaiswal, Evangelos Milios

Transformer-based models, specifically BERT, have propelled research in various NLP tasks. However, these models are limited to a maximum token limit of 512 tokens. Consequently, t…

cs.IR2023

MPTopic: Improving topic modeling via Masked Permuted pre-training

Xinche Zhang, Evangelos milios

Topic modeling is pivotal in discerning hidden semantic structures within texts, thereby generating meaningful descriptive keywords. While innovative techniques like BERTopic and T…

cs.CV201615 cited

Statistical Learning for OCR Text Correction

Jie Mei, Aminul Islam, Yajing Wu +2

The accuracy of Optical Character Recognition (OCR) is crucial to the success of subsequent applications used in text analyzing pipeline. Recent models of OCR post-processing signi…