Papers by Gabriel Freedman
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models (2025.findings-emnlp)
Copied to clipboard
| Challenge: | ArgLLMs are an explainable LLM framework for decision-making based on computational argumentation in which uncertainty quantification plays a critical role. |
| Approach: | They propose to integrate LLM UQ methods into argumentative LLMs to evaluate their performance on claim verification tasks. |
| Outcome: | The proposed method outperforms more complex approaches on claim verification tasks. |