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Canfer Akbulut

3 accepted papers

2026

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models

ICLR 2026poster

The tendency of users to anthropomorphise large language models (LLMs) is of growing societal interest. Here, we present AnthroBench: a novel empirical method and tool for evaluating anthropomorphic LLM behaviours in realistic settings. Our work introduces three key advances; first, we develop a mul…

Cited by 0SourcecodeScholar
2025

Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images

ICLR 2025spotlight

How do multi-modal generative models describe images of recent historical events and figures, whose legacies may be nuanced, multifaceted, or contested? This task necessitates not only accurate visual recognition, but also socio-cultural knowledge and cross-modal reasoning. To address this evaluati…

Cited by 0SourcePDFScholar
2024

STAR: SocioTechnical Approach to Red Teaming Language Models

EMNLP 2024main

This research introduces STAR, a sociotechnical framework that improves on current best practices for red teaming safety of large language models. STAR makes two key contributions: it enhances steerability by generating parameterised instructions for human red teamers, leading to improved coverage o…

Cited by 13SourcePDFScholar