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Question Answering on PolicyQA (test)

0.484SAEGPT-4o-mini Multi-agent-few
0.303040.350020.3970.44398Jun 3, 2025

Evaluation results

MethodLinks
GPT-4o-mini Multi-agent-fewBase Model=GPT-4o-mini, Evaluation Protocol=Few-shot, Multi-agent framework=true2025.060.4840.460.4750.4730.4690.4670.4710.0060.024
GPT-4o-mini FewBase Model=GPT-4o-mini, Evaluation Protocol=Few-shot, Multi-agent framework=false2025.060.4780.4230.4580.4520.4440.4380.4490.0140.055
DeepSeek-R1 Multi-agent-fewBase Model=DeepSeek-R1, Evaluation Protocol=Few-shot, Multi-agent framework=true2025.060.4740.4760.4940.480.4870.480.4820.0060.02
GPT-4o-mini Multi-agent-zeroBase Model=GPT-4o-mini, Evaluation Protocol=Zero-shot, Multi-agent framework=true2025.060.4640.4440.4510.4580.4470.4450.4520.0060.02
DeepSeek-R1 ZeroBase Model=DeepSeek-R1, Evaluation Protocol=Zero-shot, Multi-agent framework=false2025.060.4550.4360.4290.4370.4220.4220.4340.0090.033
DeepSeek-R1 Multi-agent-zeroBase Model=DeepSeek-R1, Evaluation Protocol=Zero-shot, Multi-agent framework=true2025.060.4510.480.4740.4830.4630.4810.4720.010.032
DeepSeek-R1 FewBase Model=DeepSeek-R1, Evaluation Protocol=Few-shot, Multi-agent framework=false2025.060.4460.4830.4680.4720.4920.4770.4730.0110.046
Llama 3.1 FewBase Model=Llama 3.1, Evaluation Protocol=Few-shot, Multi-agent framework=false2025.060.4120.3320.360.3570.3930.370.3710.0210.08
Llama 3.1 Multi-agent-fewBase Model=Llama 3.1, Evaluation Protocol=Few-shot, Multi-agent framework=true2025.060.40.380.3910.3850.3940.3720.3870.0080.028
Llama 3.1 Multi-agent-zeroBase Model=Llama 3.1, Evaluation Protocol=Zero-shot, Multi-agent framework=true2025.060.3810.3740.3680.3580.3720.3680.370.0060.023
GPT-4o-mini ZeroBase Model=GPT-4o-mini, Evaluation Protocol=Zero-shot, Multi-agent framework=false2025.060.3520.3430.3320.3380.3310.3230.3370.0080.029
Llama 3.1 ZeroBase Model=Llama 3.1, Evaluation Protocol=Zero-shot, Multi-agent framework=false2025.060.310.260.2680.2310.2370.2890.2660.0230.079