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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 38SourcecodeScholar
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 29SourcePDFScholar
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…

Meredith Ringel Morris — accepted AI-conference papers · AIConfPaper