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Gabriel Freedman

2 accepted papers

2025

Argumentative Large Language Models for Explainable and Contestable Claim Verification

AAAI 2025technical

The profusion of knowledge encoded in large language models (LLMs) and their ability to apply this knowledge zero-shot in a range of settings makes them promising candidates for use in decision-making. However, they are currently limited by their inability to provide outputs which can be faithfully…

2025

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models

EMNLP 2025

Research in uncertainty quantification (UQ) for large language models (LLMs) is increasingly important towards guaranteeing the reliability of this groundbreaking technology. We explore the integration of LLM UQ methods in argumentative LLMs (ArgLLMs), an explainable LLM framework for decision-makin

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