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Contact


Email

eduard.hovy@unimelb.edu.au

Credentials


Position
Executive Director, Melbourne Connect
Office of the DVC Research
Education
PhD
University of Antwerp
PhD
National Distance Education University UNED
PhD
Yale University
ORCID

0000-0002-3270-7903

Prof Eduard Hovy

Executive Director, Melbourne Connect
Office of the DVC Research

487 Scholarly works
5 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    CommonMorph: Participatory Morphological Documentation Platform
    DOI: 10.63317/5gqigwzjjv4b
  • 2026

    Journal article

    Deep learning based visually rich document content understanding: a survey
    DOI: 10.1007/s10462-025-11477-3
  • 2026

    Journal article

    Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
    DOI: 10.1162/TACL.a.698
  • 2026

    Conference Proceedings

    IYKYK: Using language models to decode extremist cryptolects
    DOI: 10.18653/v1/2026.eacl-long.393
  • 2024

    Research grants (ARC, NHMRC, MRFF)

    Whose Care Is Left Behind? A Multi-Level Collective Strategy to Address Structural Inequalities in New Models of Care With Priority Populations
  • 2023

    Research grants (other domestic)

    Misinformation in the Era of ChatGPT
  • 2021

    Research contracts (non-grants)

    DAIRNET - Sciacca
Eduard Hovy

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Preface
  • 2026

    Journal article

    Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
    DOI: 10.1609/aaai.v40i36.40339
  • 2025

    Conference Proceedings

    Legal Judgment Prediction Through Argument Analysis
    DOI: 10.1007/978-981-96-0348-0_4
  • 2025

    Conference Proceedings

    RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
    DOI: 10.18653/v1/2025.acl-long.806
  • 2025

    Conference Proceedings

    Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
    DOI: 10.18653/v1/2025.findings-acl.256
  • 2025

    Conference Proceedings

    Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection

RECENT PROJECTS

  • 2025

    Research contracts (non-grants)

    Memorandum of Understanding Between UoM-FEIT and RIKEN-AIP
  • 2025

    Research contracts (non-grants)

    Manufacturing-Specialized Foundation Model (MFM) Core Technology Development

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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