Papers with general and domain-specific tasks
Co-Eval: Augmenting LLM-based Evaluation with Machine Metrics (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing LLMs suffer from biases and misalignment due to limited functional understanding and knowledge gaps. |
| Approach: | They introduce a framework that leverages a criteria planner model and optimized machine metrics to enhance the scalability and fairness of LLM-based evaluation. |
| Outcome: | The proposed framework reduces biases and improves alignment with human preferences, with gains of up to 0.324 in Spearman correlation. |