MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences
Paper
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2410.02381
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Published
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| Model | Score | Chat | Chat Hard | Safety | Reasoning |
|---|---|---|---|---|---|
| nvidia/Llama-3.1-Nemotron-70B-Reward | 94.1 | 97.5 | 85.7 | 95.1 | 98.1 |
| meta-metrics/MetaMetrics-RM-v1.0 | 93.5 | 98.9 | 86.2 | 90.7 | 98.2 |
| SF-Foundation/TextEval-Llama3.1-70B | 93.5 | 94.1 | 90.1 | 93.2 | 96.4 |
| RLHFlow/ArmoRM-Llama3-8B-v0.1 | 90.4 | 96.9 | 76.8 | 90.5 | 97.3 |
If you find this work useful for your research, please consider citing:
@inproceedings{
winata2025metametrics,
title={MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences},
author={Genta Indra Winata and David Anugraha and Lucky Susanto and Garry Kuwanto and Derry Tanti Wijaya},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=slO3xTt4CG}
}