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Embodied Instruction Following on AlfWorld (Specific Success Rates)

99.3Average Success RateGemini-3-Pro
0.18825.91951.6577.381Apr 23, 2026Apr 29, 2026May 6, 2026May 13, 2026May 19, 2026May 26, 2026Jun 2, 2026

Evaluation results

MethodLinks
Gemini-3-ProBackbone=Closed-Source Model2026.0599.310096.8100100—100100
WALL-E 2.0Model Category=Language model2026.04981001009610010094—
DAPO+AEMBackbone=Qwen2.5-7B-Instruct2026.0596.69910096.395.2—93.291.7
DAPOBackbone=Qwen2.5-7B-Instruct2026.0596.110010094.790.3—94.396.3
ReCAPAModel Category=Language model2026.04961009794959694—
RAFAModel Category=Language model2026.049510097919510082—
WALL-E 1.0Model Category=Language model2026.0495100971008685100—
DAPO+AEMBackbone=Qwen2.5-1.5B-Instruct2026.0594.597.398.898.490.9—89.590.3
AdaPlannerModel Category=Language model2026.0491100100891009747—
GPT-5.2-ProBackbone=Closed-Source Model2026.0588.810010061.387—100100
DAPOBackbone=Qwen2.5-1.5B-Instruct2026.0588.510090.691.386.6—82.970.3
ReflexionModel Category=Language model2026.0486929470819088—
DELTAMEMLLM=DeepSeek-V4-flash, Decoding Temperature=0, Prompt Framework=ReAct, Node Embeddings=E5-base-v2, Learning Protocol=Online learning, in-context demonstration=nicl = 12026.0685———————
GRPO+AEMBackbone=Qwen2.5-7B-Instruct2026.0584.498.989.484.179.5—65.778.6
GSPO+AEMBackbone=Qwen2.5-7B-Instruct2026.0583.488.992.685.284.8—78.356.8
EMMAModel Category=Vision-language model2026.0482719485838867—
GSPOBackbone=Qwen2.5-7B-Instruct2026.0580.795.173.98079.8—69.766.9
PPOBackbone=Qwen2.5-7B-Instruct2026.0580.492.392.589.580.3—68.864
SynapseLLM=DeepSeek-V4-flash, Decoding Temperature=0, Prompt Framework=ReAct, Node Embeddings=E5-base-v2, Learning Protocol=Online learning, in-context demonstration=nicl = 12026.0679.29———————
GRPOBackbone=Qwen2.5-7B-Instruct2026.0578.791.379.976.975.2—44.391.5
AutoGenModel Category=Language model2026.0477927478868341—
GRPO+AEMBackbone=Qwen2.5-1.5B-Instruct2026.0576.888.676.460.976.7—69.967.6
DEPSModel Category=Language model2026.04769350801001000—
RBankLLM=DeepSeek-V4-flash, Decoding Temperature=0, Prompt Framework=ReAct, Node Embeddings=E5-base-v2, Learning Protocol=Online learning, in-context demonstration=nicl = 12026.0674.29———————
ReActModel Category=Language model2026.0474795496858351—
GSPO+AEMBackbone=Qwen2.5-1.5B-Instruct2026.0571.975.578.17570.2—46.756.5
No MemoryLLM=DeepSeek-V4-flash, Decoding Temperature=0, Prompt Framework=ReAct, Node Embeddings=E5-base-v2, Learning Protocol=Zero-shot, in-context demonstration=nicl = 12026.0670.71———————
GRPOBackbone=Qwen2.5-1.5B-Instruct2026.056878.270.57275—39.249.9
GSPOBackbone=Qwen2.5-1.5B-Instruct2026.0566.775.464.67074.6—3054.2
AWMLLM=DeepSeek-V4-flash, Decoding Temperature=0, Prompt Framework=ReAct, Node Embeddings=E5-base-v2, Learning Protocol=Online learning, in-context demonstration=nicl = 12026.0664.29———————
PPOBackbone=Qwen2.5-1.5B-Instruct2026.0554.464.857.160.646.4—47.440.5
ReActBackbone=Qwen2.5-7B-Instruct2026.0531.248.534.313.218.2—17.635.4
BUTLERModel Category=Language model2026.0426314160271229—
InstructBLIPModel Category=Vision-language model2026.04225026236170—
MiniGPT-4Model Category=Vision-language model2026.0416401917676—
LLaMA-AdapterModel Category=Vision-language model2026.04131710272200—
ReActBackbone=Qwen2.5-1.5B-Instruct2026.0512.817.415.76.27.7—220.5
BLIP-2Model Category=Vision-language model2026.0440641160—