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Contact


Email

jeyhan.lau@unimelb.edu.au

Credentials


Position
Associate Professor in NLP
School of Computing and Information Systems
Education
Graduate Certificate
University of Melbourne
Doctoral Degree (Research) / PhD
University of Melbourne
Bachelors Degree
University of Melbourne
ORCID

0000-0002-1647-4628

A/Prof Jey Han Lau

Associate Professor in NLP
School of Computing and Information Systems

127 Scholarly works
9 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Healthcare students’ perspectives on artificial intelligence-driven virtual patients for learning communication skills
    DOI: 10.11157/fohpe-vol27iss2id969
  • 2026

    Conference Proceedings

    Predicting Sentence Acceptability Judgments in Multimodal Contexts
    DOI: 10.63317/42qzv829p3s6
  • 2026

    Journal article

    Training and Evaluating with Human Label Variation: An Empirical Study
    DOI: 10.1162/COLI.a.578
  • 2026

    Conference Proceedings

    On the Interplay between Human Label Variation and Model Fairness
    DOI: 10.18653/v1/2026.findings-eacl.50
  • 2024

    Research grants (ARC, NHMRC, MRFF)

    Empowering Next-Generation Spatial Digital Twins With Linked Spatial Data
  • 2023

    Research Grant

    Oracle Gift - Towards Robust NLP: Out-of-Distribution Benchmarks and Multi-Task Fine-Tuning
  • 2021

    Research Contracts

    Case Study of Mass Influence Organisations
Jey Han Lau

RECENT SCHOLARLY WORKS

  • 2026

    Conference Proceedings

    COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
    DOI: 10.18653/v1/2026.findings-eacl.71
  • 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
  • 2026

    Conference Proceedings

    FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
    DOI: 10.18653/v1/2026.findings-eacl.269
  • 2026

    Conference Proceedings

    Context volume drives performance: Tackling domain shift in extremely low-resource translation via RAG
    DOI: 10.18653/v1/2026.loresmt-1.7
  • 2025

    Journal article

    Implications of declaration of climate emergency on Australian local government policy in the State of Victoria: policy analysis utilising an LLM-based retriever-reader pipeline
    DOI: 10.1007/s10584-025-04046-8

RECENT PROJECTS

  • 2023

    Research grants (ARC, NHMRC, MRFF)

    AI for Legal Problem Diagnosis in the Diverse Language of Australians
  • 2022

    Research Contracts

    Software Development and Research for Understanding Under-Represented Demographics in Requests for Free Legal Assistance

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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Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


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Grattan Street, Parkville,
Victoria, 3010, Australia

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