RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues
Tzu-Lin Kuo*, Feng-Ting Liao*, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu
*core contributors
This is the official repo of the RAD-Bench.
| Name | Academic | News | Education | Finance | Customer | Travel | Average |
|---|---|---|---|---|---|---|---|
| GPT-4o | 8.77 | 8.68 | 8.95 | 9.00 | 9.10 | 7.83 | 8.72 |
| GPT-4o-mini | 8.27 | 8.53 | 8.80 | 8.87 | 8.53 | 7.80 | 8.47 |
| Mistral-Large | 8.17 | 7.77 | 8.33 | 8.58 | 7.83 | 6.76 | 7.91 |
| GPT-3.5-Turbo | 5.30 | 5.23 | 6.55 | 8.04 | 8.47 | 5.93 | 6.59 |
| Llama3.1-405B | 7.90 | 8.07 | 8.25 | 8.22 | 7.63 | 7.21 | 7.88 |
| Llama3.1-70B | 8.03 | 7.72 | 8.25 | 8.02 | 6.83 | 7.07 | 7.65 |
| Mixtral-8x22b | 7.70 | 7.47 | 7.97 | 8.22 | 8.10 | 5.79 | 7.54 |
| Gemma-2-27B | 5.50 | 3.60 | 3.05 | 7.71 | 6.17 | 1.52 | 4.59 |
| Deepseek-v2 | 7.57 | 6.67 | 8.00 | 8.71 | 8.27 | 7.95 | 7.86 |
| BreeXe-8x7B | 8.47 | 8.14 | 8.58 | 7.56 | 7.63 | 5.74 | 7.69 |
| Mistral-Nemo-12B | 7.20 | 6.84 | 7.42 | 7.33 | 7.47 | 3.55 | 6.63 |
| Gemma-2-9B | 5.63 | 3.61 | 3.17 | 8.04 | 6.00 | 1.50 | 4.66 |
| Llama3.1-8B | 7.33 | 6.16 | 7.53 | 8.33 | 6.77 | 5.17 | 6.88 |
| Breeze-7B | 7.47 | 7.33 | 7.80 | 6.93 | 7.13 | 4.83 | 6.92 |
pip install -r requirements.txt
Simply do,
cd rad_bench/script
sh run_inference.sh
Simply do,
cd rad_bench/script
sh run_evaluation.sh
To see the results, do
cd rad_bench/script
sh run_qa_browser.sh
then open localhost:1234 in your browser
Please cite this repo with
@misc{rad-kuo2024,
title={RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval
Augmented Dialogues},
author={Tzu-Lin Kuo, Feng-Ting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu},
year={2024}
}
Python
95.7%
Jupyter Notebook
3.4%
RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues
Tzu-Lin Kuo*, Feng-Ting Liao*, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu
*core contributors
This is the official repo of the RAD-Bench.
| Name | Academic | News | Education | Finance | Customer | Travel | Average |
|---|---|---|---|---|---|---|---|
| GPT-4o | 8.77 | 8.68 | 8.95 | 9.00 | 9.10 | 7.83 | 8.72 |
| GPT-4o-mini | 8.27 | 8.53 | 8.80 | 8.87 | 8.53 | 7.80 | 8.47 |
| Mistral-Large | 8.17 | 7.77 | 8.33 | 8.58 | 7.83 | 6.76 | 7.91 |
| GPT-3.5-Turbo | 5.30 | 5.23 | 6.55 | 8.04 | 8.47 | 5.93 | 6.59 |
| Llama3.1-405B | 7.90 | 8.07 | 8.25 | 8.22 | 7.63 | 7.21 | 7.88 |
| Llama3.1-70B | 8.03 | 7.72 | 8.25 | 8.02 | 6.83 | 7.07 | 7.65 |
| Mixtral-8x22b | 7.70 | 7.47 | 7.97 | 8.22 | 8.10 | 5.79 | 7.54 |
| Gemma-2-27B | 5.50 | 3.60 | 3.05 | 7.71 | 6.17 | 1.52 | 4.59 |
| Deepseek-v2 | 7.57 | 6.67 | 8.00 | 8.71 | 8.27 | 7.95 | 7.86 |
| BreeXe-8x7B | 8.47 | 8.14 | 8.58 | 7.56 | 7.63 | 5.74 | 7.69 |
| Mistral-Nemo-12B | 7.20 | 6.84 | 7.42 | 7.33 | 7.47 | 3.55 | 6.63 |
| Gemma-2-9B | 5.63 | 3.61 | 3.17 | 8.04 | 6.00 | 1.50 | 4.66 |
| Llama3.1-8B | 7.33 | 6.16 | 7.53 | 8.33 | 6.77 | 5.17 | 6.88 |
| Breeze-7B | 7.47 | 7.33 | 7.80 | 6.93 | 7.13 | 4.83 | 6.92 |
pip install -r requirements.txt
Simply do,
cd rad_bench/script
sh run_inference.sh
Simply do,
cd rad_bench/script
sh run_evaluation.sh
To see the results, do
cd rad_bench/script
sh run_qa_browser.sh
then open localhost:1234 in your browser
Please cite this repo with
@misc{rad-kuo2024,
title={RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval
Augmented Dialogues},
author={Tzu-Lin Kuo, Feng-Ting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu},
year={2024}
}
Python
95.7%
Jupyter Notebook
3.4%