Code Generation on HumanEval and MBPP (Aggregated)
85.6Overall Average ScoreGPT-4-1106-preview
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GPT-4-1106-previewModel Version=1106-preview2024.05 | 85.6 | — | — | — | — | — | 77.5 | — | — | — | — | |
| CodeSimLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 82.7 | 95.1 | 87.2 | 90.7 | — | — | — | 86 | 89.4 | 61.2 | 76 | |
| CodeSimLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 81.3 | 94.5 | 84.8 | 89.7 | — | — | — | 81.7 | 87 | 61.5 | 75.6 | |
| GPT-3.5-Turbo-1106Model Version=11062024.05 | 79.7 | — | — | — | — | — | 70.2 | — | — | — | — | |
| MapCoderLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 79 | 90.2 | 81.7 | 88.7 | — | — | — | 80.5 | 84.1 | 59.2 | 74 | |
| WizardLM(filtered)Data Source=WizardLM, Filtering Method=DataFlow SFT pipeline, SFT Data Scale=5K2025.12 | 78.9 | 77.4 | — | 80.4 | — | — | — | — | — | — | — | |
| DataFlow-SFT-15K(filtered)Data Source=DataFlow-SFT-15K, Filtering Method=DataFlow SFT pipeline, SFT Data Scale=15K2025.12 | 78.9 | 82.9 | — | 74.9 | — | — | — | — | — | — | — | |
| WizardLM(random)Data Source=WizardLM, Filtering Method=random, SFT Data Scale=5K2025.12 | 78.8 | 75.6 | — | 82 | — | — | — | — | — | — | — | |
| MapCoderLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 78.6 | 93.9 | 83.5 | 83.1 | — | — | — | 82.9 | 86.8 | 57.7 | 70.4 | |
| CoTLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 78.6 | 90.9 | 87.2 | 82.9 | — | — | — | 82.3 | 86.8 | 57.9 | 70.4 | |
| DataFlow-SFT-15K(random)Data Source=DataFlow-SFT-15K, Filtering Method=random, SFT Data Scale=15K2025.12 | 77.9 | 79.9 | — | 75.9 | — | — | — | — | — | — | — | |
| Self-PlanningLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 77 | 89 | 84.1 | 82.6 | — | — | — | 80.5 | 84.5 | 56.4 | 69.5 | |
| DirectLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 76.5 | 90.2 | 82.3 | 81.1 | — | — | — | 81.1 | 84.5 | 55.9 | 68.5 | |
| ReflexionLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 76 | 87.2 | 81.1 | 81.1 | — | — | — | 81.1 | 83.1 | 56.7 | 68.9 | |
| CodeSimLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 75.1 | 86 | 73.2 | 86.4 | — | — | — | 72 | 77.1 | 59.7 | 73.1 | |
| Alpaca(filtered)Data Source=Alpaca, Filtering Method=DataFlow SFT pipeline, SFT Data Scale=5K2025.12 | 74.8 | 73.8 | — | 75.7 | — | — | — | — | — | — | — | |
| ReflexionLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 74.4 | 91 | 81.7 | 78.3 | — | — | — | 78.7 | 83.8 | 51.9 | 65.1 | |
| CHORDBackbone=Qwen3-4B2025.09 | 73.76 | — | — | — | — | — | — | — | — | — | — | |
| Alpaca(random)Data Source=Alpaca, Filtering Method=random, SFT Data Scale=5K2025.12 | 73.6 | 71.3 | — | 75.9 | — | — | — | — | — | — | — | |
| AnalogicalLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | 73.6 | 88.4 | 83.5 | 75.1 | — | — | — | 80.5 | 84.1 | 50.9 | 63 | |
| A-SFT → A-GRPOBackbone=Qwen3-4B2025.09 | 73.26 | — | — | — | — | — | — | — | — | — | — | |
| DirectLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 73.2 | 80.1 | 81.7 | 81.1 | — | — | — | 73.8 | 78.5 | 54.7 | 67.9 | |
| A-GRPOBackbone=Qwen3-4B2025.09 | 73.15 | — | — | — | — | — | — | — | — | — | — | |
| CoTLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 72.3 | 89 | — | 82.4 | — | — | — | 61.6 | 75.3 | 56.2 | 69.3 | |
| SFT → A-GRPOBackbone=Qwen3-4B2025.09 | 72.06 | — | — | — | — | — | — | — | — | — | — | |
| SFT → GRPOBackbone=Qwen3-4B2025.09 | 71.54 | — | — | — | — | — | — | — | — | — | — | |
| GRPOBackbone=Qwen3-4B2025.09 | 71.43 | — | — | — | — | — | — | — | — | — | — | |
| A-SFTBackbone=Qwen3-4B2025.09 | 70.34 | — | — | — | — | — | — | — | — | — | — | |
| A-CHORDBackbone=Qwen3-4B2025.09 | 70.32 | — | — | — | — | — | — | — | — | — | — | |
| Qwen3-4BBackbone=Qwen3-4B2025.09 | 70.31 | — | — | — | — | — | — | — | — | — | — | |
| MapCoderLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 70.2 | 80.5 | 71.3 | 78.3 | — | — | — | 70.1 | 74 | 54.4 | 66.4 | |
| SFTBackbone=Qwen3-4B2025.09 | 68.62 | — | — | — | — | — | — | — | — | — | — | |
| Self-PlanningLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 68.4 | 85.4 | — | 75.8 | — | — | — | 62.2 | 73.8 | 50.4 | 63.1 | |
| CoTLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 67.2 | 70.7 | 68.3 | 78.3 | — | — | — | 63.4 | 67.5 | 55.7 | 67 | |
| MAmmoTH2-7B-PlusSize=7B2024.05 | 66.1 | — | — | — | — | — | 58.2 | — | — | — | — | |
| DirectLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 65.9 | 71.3 | 67.1 | 75.8 | — | — | — | 64.6 | 67.7 | 52.6 | 64.2 | |
| Llama-3-8B-InstructSize=8B, Mode=Instruct2024.05 | 65.8 | — | — | — | — | — | 58 | — | — | — | — | |
| Self-PlanningLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 63.6 | 70.7 | 62.8 | 73.8 | — | — | — | 61 | 64.8 | 51.1 | 62.5 | |
| MAmmoTH2-8x7B-PlusArchitecture=MoE, Size=8x7B2024.05 | 63.3 | — | — | — | — | — | 55.3 | — | — | — | — | |
| Self-collaborationLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 62.1 | 74.4 | — | 68.2 | — | — | — | 56.1 | 65.3 | 49.5 | 58.9 | |
| MAmmoTH2-8B-PlusSize=8B2024.05 | 61.9 | — | — | — | — | — | 53.3 | — | — | — | — | |
| DeRS-LM⁺ Coder-MoEMoE Model=Coder-MoE, Upcycling Method=DeRS-LM⁺, Added Params.=11.3M2025.03 | 60.9 | 65.9 | 62.2 | 63.4 | 51.9 | — | — | — | — | — | — | |
| DeRS-SM⁺ Coder-MoEMoE Model=Coder-MoE, Upcycling Method=DeRS-SM⁺, Added Params.=406M2025.03 | 60.3 | 64.6 | 60.4 | 63.7 | 52.4 | — | — | — | — | — | — | |
| Vanilla Coder-MoEMoE Model=Coder-MoE, Upcycling Method=Vanilla, Added Params.=3.24B2025.03 | 60.2 | 64.6 | 61 | 63.9 | 51.4 | — | — | — | — | — | — | |
| AnalogicalLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | 59.9 | 67.1 | 59.1 | 69.3 | — | — | — | 59.1 | 61.8 | 46.9 | 58.1 | |
| C3ABackbone=LLaMA3-8B, Params (%)=0.26, Evaluation Protocol=Fine-tuned, Block size (b)=4096, Rank (r)=322024.07 | 58.7 | 59.5 | 53.8 | 65.4 | 56.1 | — | — | — | — | — | — | |
| DoRABackbone=LLaMA3-8B, Params (%)=0.71, Evaluation Protocol=Fine-tuned, Rank (r)=322024.07 | 58.4 | 59.1 | 52.9 | 65.7 | 55.8 | — | — | — | — | — | — | |
| LoRABackbone=LLaMA3-8B, Params (%)=0.70, Evaluation Protocol=Fine-tuned, Rank (r)=322024.07 | 57.6 | 57.9 | 52.4 | 64.8 | 55.3 | — | — | — | — | — | — | |
| VeRABackbone=LLaMA3-8B, Params (%)=0.04, Evaluation Protocol=Fine-tuned, Rank (r)=163842024.07 | 56.2 | 56.3 | 50.8 | 64 | 53.6 | — | — | — | — | — | — | |
| AnalogicalLLM=GPT-4 (gpt-4-1106-preview)2025.02 | 54.3 | 66.5 | 62.2 | 58.4 | — | — | — | 48.8 | 59.1 | 40.3 | 49.4 | |
| Mixtral-8x7B-Instruct-v0.1Architecture=MoE, Size=8x7B, Version=v0.1, Mode=Instruct2024.05 | 52.3 | — | — | — | — | — | 44.7 | — | — | — | — | |
| Tulu-2-DPO-70BSize=70B, Optimization=DPO2024.05 | 51.2 | — | — | — | — | — | 43 | — | — | — | — | |
| Zero-ShotBackbone=LLaMA3-8B, Evaluation Protocol=Zero-Shot2024.07 | 44 | 33.5 | 29.3 | 61.4 | 51.6 | — | — | — | — | — | — | |
| Mistral-7B-Instruct-v0.2Size=7B, Version=v0.2, Mode=Instruct2024.05 | 43.4 | — | — | — | — | — | 36.5 | — | — | — | — | |
| Yi-34B-ChatSize=34B, Mode=Chat2024.05 | 38.7 | — | — | — | — | — | 32.6 | — | — | — | — | |
| A-SFTBackbone=Qwen3-0.6B2025.09 | 33.93 | — | — | — | — | — | — | — | — | — | — | |
| A-SFT → A-GRPOBackbone=Qwen3-0.6B2025.09 | 33.72 | — | — | — | — | — | — | — | — | — | — | |
| C3ABackbone=LLaMA2-7B, Params (%)=0.35, Evaluation Protocol=Fine-tuned, Block size (b)=4096, Rank (r)=322024.07 | 32.8 | 33.8 | 29 | 36.5 | 31.9 | — | — | — | — | — | — | |
| DoRABackbone=LLaMA2-7B, Params (%)=0.84, Evaluation Protocol=Fine-tuned, Rank (r)=322024.07 | 32.7 | 33.2 | 28.8 | 36.8 | 31.8 | — | — | — | — | — | — | |
| Qwen3-0.6BBackbone=Qwen3-0.6B2025.09 | 32.63 | — | — | — | — | — | — | — | — | — | — | |
| LoRABackbone=LLaMA2-7B, Params (%)=0.83, Evaluation Protocol=Fine-tuned, Rank (r)=322024.07 | 31.4 | 31.7 | 28 | 35.4 | 30.4 | — | — | — | — | — | — | |
| Llama-2-70b-chatSize=70B, Mode=Chat2024.05 | 31.4 | — | — | — | — | — | 26.5 | — | — | — | — | |
| VeRABackbone=LLaMA2-7B, Params (%)=0.05, Evaluation Protocol=Fine-tuned, Rank (r)=163842024.07 | 29.5 | 28.9 | 24.6 | 35.1 | 29.6 | — | — | — | — | — | — | |
| SFTBackbone=Qwen3-0.6B2025.09 | 29.43 | — | — | — | — | — | — | — | — | — | — | |
| SFT → A-GRPOBackbone=Qwen3-0.6B2025.09 | 29 | — | — | — | — | — | — | — | — | — | — | |
| CHORDBackbone=Qwen3-0.6B2025.09 | 26.09 | — | — | — | — | — | — | — | — | — | — | |
| A-CHORDBackbone=Qwen3-0.6B2025.09 | 23.89 | — | — | — | — | — | — | — | — | — | — | |
| SFT → GRPOBackbone=Qwen3-0.6B2025.09 | 21.6 | — | — | — | — | — | — | — | — | — | — | |
| FedMomentum2026.03 | 21.34 | 17.07 | — | 25.6 | — | — | — | — | — | — | — | |
| FFA-LoRA2026.03 | 20.33 | 15.85 | — | 24.8 | — | — | — | — | — | — | — | |
| FedEx-LoRA2026.03 | 20.23 | 16.46 | — | 24 | — | — | — | — | — | — | — | |
| A-GRPOBackbone=Qwen3-0.6B2025.09 | 19.79 | — | — | — | — | — | — | — | — | — | — | |
| FedIT2026.03 | 19.62 | 15.24 | — | 24 | — | — | — | — | — | — | — | |
| RoLoRA2026.03 | 19.32 | 15.24 | — | 23.4 | — | — | — | — | — | — | — | |
| Zero-ShotBackbone=LLaMA2-7B, Evaluation Protocol=Zero-Shot2024.07 | 18.8 | 11 | 9.8 | 30.2 | 24.1 | — | — | — | — | — | — | |
| FLoRA2026.03 | 18.21 | 13.41 | — | 23 | — | — | — | — | — | — | — | |
| Pre-trained2026.03 | 17.8 | 12.19 | — | 23.4 | — | — | — | — | — | — | — | |
| GRPOBackbone=Qwen3-0.6B2025.09 | 17.58 | — | — | — | — | — | — | — | — | — | — | |
| ChatBackbone=LLaMA2-13B2025.02 | — | 7.9 | — | 16.5 | — | — | — | — | — | — | — | |
| CodeBackbone=LLaMA2-13B2025.02 | — | 10.4 | — | 21.3 | — | — | — | — | — | — | — | |
| DAREBackbone=LLaMA2-13B, Use Sens=false2025.02 | — | 20.1 | — | 39.1 | — | — | — | — | — | — | — | |
| LATSLLM=ChatGPT (gpt-3.5-turbo-1106)2025.02 | — | 83.8 | — | — | — | — | — | — | — | — | — | |
| LATSLLM=GPT-4 (gpt-4-1106-preview)2025.02 | — | 92.7 | — | — | — | — | — | — | — | — | — | |
| LATSLLM=GPT-4o (gpt-4o-2024-08-06)2025.02 | — | 88.8 | — | — | — | — | — | 81.2 | 85 | — | — | |
| MathBackbone=LLaMA2-13B2025.02 | — | 15.9 | — | 28.8 | — | — | — | — | — | — | — | |
| Sens-Merging (DARE)Backbone=LLaMA2-13B, Use Sens=true2025.02 | — | 20.7 | — | 39.3 | — | — | — | — | — | — | — | |
| Sens-Merging (Task Arithmetic)Backbone=LLaMA2-13B, Use Sens=true2025.02 | — | 20.1 | — | 42.6 | — | — | — | — | — | — | — | |
| Sens-Merging (Ties-Merging)Backbone=LLaMA2-13B, Use Sens=true2025.02 | — | 20.6 | — | 41.3 | — | — | — | — | — | — | — | |
| Task ArithmeticBackbone=LLaMA2-13B, Use Sens=false2025.02 | — | 9.1 | — | 24.1 | — | — | — | — | — | — | — | |
| Ties-MergingBackbone=LLaMA2-13B, Use Sens=false2025.02 | — | 21.3 | — | 40.4 | — | — | — | — | — | — | — |