Papers with decision-making framework
Consistent Joint Decision-Making with Heterogeneous Learning Models (2024.findings-eacl)
Copied to clipboard
| Challenge: | Existing approaches to handle inconsistencies in correlated decisions are insufficient for tasks like hierarchical image classification and text summa-rization. |
| Approach: | They propose a decision-making framework that promotes consistency among decisions made by diverse models while utilizing external knowledge. |
| Outcome: | The proposed framework is superior to baselines on multiple datasets. |
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models (2024.emnlp-main)
Copied to clipboard
| Challenge: | Existing enhancements of ExpertPrompting improve the large language model generation process. |
| Approach: | They propose a novel enhancement of ExpertPrompting to improve LLM generation by simulating multiple experts, aggregating their responses and selecting the best among individual and aggregated responses. |
| Outcome: | The proposed enhancement outperforms ExpertPrompting and comparable baselines in truthfulness, factuality, informativeness, usefulness and harmfulness. |