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ResearchFormerly WizWand

Multi-turn Interaction on ALFWorld

82.8AccuracyQwen2.5-72B-CodeGym
42.03252.61663.273.784Sep 22, 2025
Updated 7mo ago

Evaluation results

MethodLinks
Qwen2.5-72B-CodeGymCoT Pattern=Short-CoT, Training Strategy=CodeGym, Model Series=Qwen2.5, Model Size=72B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0982.8
Qwen2.5-32B-CodeGymCoT Pattern=Short-CoT, Training Strategy=CodeGym, Model Series=Qwen2.5, Model Size=32B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0980.8
Qwen2.5-72B-InstructCoT Pattern=Short-CoT, Training Strategy=Instruct, Model Series=Qwen2.5, Model Size=72B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0980.4
Qwen2.5-14B-CodeGymCoT Pattern=Short-CoT, Training Strategy=CodeGym, Model Series=Qwen2.5, Model Size=14B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0972.8
Qwen2.5-32B-InstructCoT Pattern=Short-CoT, Training Strategy=Instruct, Model Series=Qwen2.5, Model Size=32B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0966.8
QwQ-32B-CodeGymCoT Pattern=Long-CoT, Training Strategy=CodeGym, Model Series=QwQ, Model Size=32B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0964.4
QwQ-32BCoT Pattern=Long-CoT, Training Strategy=Base, Model Series=QwQ, Model Size=32B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0962.4
Qwen2.5-14B-InstructCoT Pattern=Short-CoT, Training Strategy=Instruct, Model Series=Qwen2.5, Model Size=14B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0959.2
Qwen2.5-7B-CodeGymCoT Pattern=Short-CoT, Training Strategy=CodeGym, Model Series=Qwen2.5, Model Size=7B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0951.3
Qwen2.5-7B-InstructCoT Pattern=Short-CoT, Training Strategy=Instruct, Model Series=Qwen2.5, Model Size=7B, T=0.7, top-p=0.95, Inference Averaging=5 runs, ReAct protocol=true2025.0943.6