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Email

lea.frermann@unimelb.edu.au

Credentials


Position
ARC DECRA Fellow
School of Computing and Information Systems
Education
Doctorate
Edinburgh, University of
Doctorate
The University of Edinburgh
Masters
Universitaet des Saarlandes
Bachelors Degree
Universitaet Bremen
ORCID

0000-0002-9712-1188

Dr Lea Frermann

ARC DECRA Fellow
School of Computing and Information Systems

71 Scholarly works
6 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames
    DOI: 10.18653/v1/2026.findings-acl.1911
  • 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

    CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics
    DOI: 10.18653/v1/2026.acl-long.2203
  • 2026

    Conference Proceedings

    Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning
    DOI: 10.18653/v1/2026.acl-long.802
  • 2023

    Research grants (ARC, NHMRC, MRFF)

    Identifying Biases in News Using Models of Narrative Framing
  • 2021

    Internal Research Grant

    Exposing Bias in News Stories With Models of Narrative Theory
  • 2020

    Research Grant

    Fairness in Natural Language Processing
Lea Frermann

RECENT SCHOLARLY WORKS

  • 2026

    Conference Proceedings

    Article and Comment Frames Shape the Quality of Online Comments
    DOI: 10.18653/v1/2026.findings-acl.701
  • 2026

    Journal article

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

    Journal article

    Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends, and Metrics Analysis
    DOI: 10.1162/tacl.a.52
  • 2025

    Journal article

    Bias and Discrimination Against Women and Parents in Semi-Automated Hiring Systems
    DOI: 10.1111/ntwe.12321
  • 2025

    Journal article

    Introduction
    DOI: 10.18653/v1/2025.acl-srw.0
  • 2025

    Conference Proceedings

    Automated Business Process Analysis: An LLM-Based Approach to Value Assessment
    DOI: 10.1007/978-3-031-94590-8_8

RECENT PROJECTS

  • 2025

    Research grants (international)

    Institutional Support
  • 2021

    Research contracts (non-grants)

    Access to Databrary Data Base (https://nyu.databrary.org/)

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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