Papers with decision-making based
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. |
Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies? (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing research has focused on the earlier stages of emergency response . lack of suitable datasets for reliable and compliance-aware decision-oriented modeling and evaluation is limiting current research . |
| Approach: | They propose a first real-world emergency decision-making dataset EDM-Bench . they propose 'rule-enhanced reasoning framework' that integrates external regulatory knowledge with constrained inference mechanisms to improve both decision safety and interpretability. |
| Outcome: | The proposed framework improves decision safety and interpretability by integrating regulatory knowledge with constrained inference mechanisms. |