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Meredith Ringel Morris

4 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

Position: Towards Bidirectional Human-AI Alignment

NeurIPS 2025poster

Recent advances in general-purpose AI underscore the urgent need to align AI systems with human goals and values. Yet, the lack of a clear, shared understanding of what constitutes "alignment" limits meaningful progress and cross-disciplinary collaboration. In this position paper, we argue that the…

Cited by 0SourceScholar
2024

Position: Levels of AGI for Operationalizing Progress on the Path to AGI

ICML 2024spotlight

We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors. This framework introduces levels of AGI performance, generality, and autonomy, providing a common language to compare models, assess risks, and measure progress…

Cited by 115SourcePDFScholar
2022

Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics

EMNLP 2022main

Few images on the Web receive alt-text descriptions that would make them accessible to blind and low vision (BLV) users. Image-based NLG systems have progressed to the point where they can begin to address this persistent societal problem, but these systems will not be fully successful unless we eva…