List your company

Task-oriented dialogue on MultiWOZ 2.4

99InformQwen-3-32B
39.7255.1170.585.89Jun 26, 2026

Evaluation results

MethodLinks
Qwen-3-32BSystem Type=Multi-Agent, Optimization Strategy=Mean of L1 Norm2026.06999454.498.185.591.4
Qwen-3-32BSystem Type=Multi-Agent, Optimization Strategy=Max of L1 Norm2026.0699955398.385.291.3
Qwen-3-32BSystem Type=Multi-Agent, Optimization Strategy=Mean of Product with Input2026.06988351.996.984.690.3
Qwen-3-32BSystem Type=Multi-Agent, Optimization Strategy=Before Optimization2026.06958028.992.569.479.3
Qwen-3-32BSystem Type=Multi-Agent, Optimization Strategy=Max of Product with Input2026.0695865197.479.387.4
Qwen-3-32BSystem Type=Single-Agent, Optimization Strategy=None2026.06884044.497.780.988.5
Llama-3.3-70B-ItSystem Type=Multi-Agent, Optimization Strategy=Before Optimization2026.06875724.397.454.169.5
Llama-3.3-70B-ItSystem Type=Multi-Agent, Optimization Strategy=Max of L1 Norm2026.06875436.794.578.986
Llama-3.3-70B-ItSystem Type=Multi-Agent, Optimization Strategy=Max of Product with Input2026.06856238.994.781.787.7
Llama-3.3-70B-ItSystem Type=Single-Agent, Optimization Strategy=None2026.06847140.396.981.588.5
Llama-3.3-70B-ItSystem Type=Multi-Agent, Optimization Strategy=Mean of Product with Input2026.0682593996.779.687.4
Llama-3.3-70B-ItSystem Type=Multi-Agent, Optimization Strategy=Mean of L1 Norm2026.0642728.690.77883.9