Cover Image

MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Francis, John, Esnaashari, Saba, Poletaev, Anton, Chakraborty, Sukankana, Hashem, Youmna, Bright, Jonathan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

'Team-in-the-loop': Ostrom's IAD framework 'rules in use' to map and measure contextual impacts of AI
by: Morgan, Deborah, et al.
Published: (2023)

Generative AI is already widespread in the public sector
by: Bright, Jonathan, et al.
Published: (2024)

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
by: Straub, Vincent J., et al.
Published: (2024)

Who is driving the conversation? Analysing the nodality of British MPs and journalists on social media
by: Chakraborty, Sukankana, et al.
Published: (2024)

When not to target negative ties? Studying competitive influence maximisation in signed networks
by: Chakraborty, Sukankana, et al.
Published: (2025)

The State of Person‐Centered Measurement for Family Planning Need and Use: A Scoping Review
by: Ilene S. Speizer, et al.
Published: (2025)

Exploring responsible applications of Synthetic Data to advance Online Safety Research and Development
by: Johansson, Pica, et al.
Published: (2024)

SSCHA-based evolutionary crystal structure prediction at finite temperatures with account for quantum nuclear motion
by: Poletaev, Daniil, et al.
Published: (2025)

Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines
by: Esnaashari, Marzieh, et al.
Published: (2025)

A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data
by: Francis, Paul
Published: (2024)

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs
by: Kontogiannis, George, et al.
Published: (2024)

Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction
by: Gábor Berend
Published: (2013)

Conditional Multi-Stage Failure Recovery for Embodied Agents
by: Farag, Youmna, et al.
Published: (2025)

Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data
by: Lips, Thomas, et al.
Published: (2024)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
by: Ferreira, André, et al.
Published: (2024)

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
by: Goldie, Anna, et al.
Published: (2025)

Modeling and Evaluating Trust Dynamics in Multi-Human Multi-Robot Task Allocation
by: Obi, Ike, et al.
Published: (2024)

MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions
by: Mandal, Aishik, et al.
Published: (2025)

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
by: Mehr, Goodarz, et al.
Published: (2025)

Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks
by: Wenderoth, Laura
Published: (2024)

Multi-Document Grounded Multi-Turn Synthetic Dialog Generation
by: Lee, Young-Suk, et al.
Published: (2024)

Automatic Extraction of Document Keyphrases for Use in Digital Libraries: Evaluation and Applications.
by: Jones, Steve, et al.
Published: (2002)

Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
by: Sidorenko, Andrey, et al.
Published: (2025)

Leveraging Customer Feedback for Multi-modal Insight Extraction
by: Mukku, Sandeep Sricharan, et al.
Published: (2024)

Exploring the Impact of Synthetic Data for Aerial-view Human Detection
by: Lee, Hyungtae, et al.
Published: (2024)

StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
by: Wang, Yixu, et al.
Published: (2025)

Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches
by: Pratapa, Adithya, et al.
Published: (2025)

Serpins in the Spotlight: Novel Bioinformatic Insights Into Hyalomma dromedarii Sialotranscriptome
by: Hajer Aounallah, et al.
Published: (2025)

DTBench: A Synthetic Benchmark for Document-to-Table Extraction
by: Guo, Yuxiang, et al.
Published: (2026)

Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
by: Ling, Ziyao, et al.
Published: (2026)

HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
by: Zhou, Jie, et al.
Published: (2023)

Multi-Task Learning for Features Extraction in Financial Annual Reports
by: Montariol, Syrielle, et al.
Published: (2024)

Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic
by: Wolf, Maximilian, et al.
Published: (2024)

Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
by: Hu, Zizhao, et al.
Published: (2025)

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
by: Castro-Gonzalez, Leonardo, et al.
Published: (2024)

CBrightlee/HM_Ancillary_Data: Added files
by: Christian Bright
Published: (2026)

Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
by: Seraj, Esmaeil, et al.
Published: (2024)

Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving
by: Özeren, Enes, et al.
Published: (2025)

An LLM Feature-based Framework for Dialogue Constructiveness Assessment
by: Zhou, Lexin, et al.
Published: (2024)

Synthetic Data for Blood Vessel Network Extraction
by: Mathys, Joël, et al.
Published: (2025)