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Multitask Reasoning on MMLU-Pro (Accuracy)

61.1Accuracy (MMLU-Pro)SPIRAL
29.58837.76945.9554.131Jun 30, 2025

Evaluation results

MethodLinks
SPIRALBackbone=Qwen3-8B, Training Data=Multi-game2025.0661.1
SPIRALBackbone=DeepSeek-Distill-Qwen-7B, Training Data=Multi-game2025.0658.9
SFTBackbone=Qwen3-8B, Training Data=Multi-game2025.0658.8
SPIRALBackbone=Qwen3-4B, Training Data=Multi-game2025.0658.5
SPIRALBackbone=Qwen3-4B, Training Data=Kuhn Poker2025.0657.7
DeepSeek-Distill-Qwen-7BBackbone=DeepSeek-Distill-Qwen-7B2025.0657.1
Qwen3-8B-BaseBackbone=Qwen3-8B, Evaluation Protocol=Few-shot2025.0655.7
SFTBackbone=DeepSeek-Distill-Qwen-7B, Training Data=Multi-game2025.0655.6
SFTBackbone=Qwen3-4B, Training Data=Multi-game2025.0651.3
SPIRALBackbone=Llama-3.1-8B-Instruct, Training Data=Multi-game2025.0650.4
SPIRALBackbone=Octothinker-8B, Training Data=Multi-game2025.0649.3
Llama-3.1-8B-InstructBackbone=Llama-3.1-8B-Instruct2025.0649.1
SFTBackbone=Llama-3.1-8B-Instruct, Training Data=Multi-game2025.0648.9
SFTBackbone=Qwen3-4B, Training Data=Kuhn Poker2025.0648.8
Qwen3-4B-BaseBackbone=Qwen3-4B, Evaluation Protocol=Few-shot2025.0647.2
SFTBackbone=Octothinker-8B, Training Data=Multi-game2025.0639.1
Octothinker-8B-BaseBackbone=Octothinker-8B2025.0630.8