most cited"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs

6 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 6 cited

"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs

Ran Zmigrod, Pranav Shetty, Mathieu Sibue +4

The rise of large language models (LLMs) for visually rich document understanding (VRDU) has kindled a need for prompt-response, document-based datasets. As annotating new datasets…

cs.AI2024

Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation

Xianzhi Li, Ran Zmigrod, Zhiqiang Ma +2

Language models are capable of memorizing detailed patterns and information, leading to a double-edged effect: they achieve impressive modeling performance on downstream tasks with…

cs.CL2024

BuDDIE: A Business Document Dataset for Multi-task Information Extraction

Ran Zmigrod, Dongsheng Wang, Mathieu Sibue +10

The field of visually rich document understanding (VRDU) aims to solve a multitude of well-researched NLP tasks in a multi-modal domain. Several datasets exist for research on spec…

cs.DB2024★ 1 cited

Translating between SQL Dialects for Cloud Migration

Ran Zmigrod, Salwa Alamir, Xiaomo Liu

Migrations of systems from on-site premises to the cloud has been a fundamental endeavor by many industrial institutions. A crucial component of such cloud migrations is the transi…

cs.SE2024★ 1 cited

Log Summarisation for Defect Evolution Analysis

Rares Dolga, Ran Zmigrod, Rui Silva +2

Log analysis and monitoring are essential aspects in software maintenance and identifying defects. In particular, the temporal nature and vast size of log data leads to an interest…

cs.CL2024

TreeForm: End-to-end Annotation and Evaluation for Form Document Parsing

Ran Zmigrod, Zhiqiang Ma, Armineh Nourbakhsh +1

Visually Rich Form Understanding (VRFU) poses a complex research problem due to the documents' highly structured nature and yet highly variable style and content. Current annotatio…