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Mathematical Reasoning on GSM-Symbolic

82.1GSM-Sym AccuracyLatent Thinking Optimization
-3.28418.88341.0563.217Sep 30, 2025Oct 30, 2025Nov 30, 2025Dec 31, 2025Jan 31, 2026Mar 3, 2026Apr 3, 2026

Evaluation results

MethodLinks
Latent Thinking OptimizationModel=Llama-3-8B2025.0982.1——
Majority VotingModel=Llama-3-8B2025.0979.6——
Opt-Sym (+MATH)RL Method=GRPO, Data type=Opt-Sym (+MATH)2026.0278.2265.7838
Opt-SymRL Method=GRPO, Data type=Opt-Sym2026.0277.5265.5835.4
Base-Sym (+MATH)RL Method=GRPO, Data type=Base-Sym (+MATH)2026.0277.3663.9233.96
Opt-SymRL Method=PPO, Data type=Opt-Sym2026.0276.764.9435.36
Base-NLRL Method=PPO, Data type=Base-NL2026.0276.2264.135.68
Opt-NLRL Method=PPO, Data type=Opt-NL2026.0276.0462.6434.88
Base-SymRL Method=GRPO, Data type=Base-Sym2026.0275.5663.633.96
Base-NLRL Method=GRPO, Data type=Base-NL2026.0275.0863.732.48
Base-SymRL Method=PPO, Data type=Base-Sym2026.0274.7464.3836.64
Opt-NLRL Method=GRPO, Data type=Opt-NL2026.0274.2263.8834.48
Base ModelModel=Llama-3-8B2025.0973.6——
Seed-dataRL Method=GRPO, Data type=Seed-data2026.0273.0461.5432.64
Seed-dataRL Method=PPO, Data type=Seed-data2026.0272.9661.1232.16
Seed-data (+MATH)RL Method=GRPO, Data type=Seed-data (+MATH)2026.0272.5460.430.24
Galactica-6.7B (PPO)lambda=0.5, mu=0.5, rho=0.0, voting=true2026.0468.1257.2828.36
Galactica-6.7B (PPO)lambda=1.0, mu=0.0, rho=0.0, voting=true2026.0467.4257.9427
Galactica-6.7B (PPO)lambda=0.5, mu=0.5, rho=0.0, voting=false2026.0466.3253.3225.72
Galactica-6.7B (PPO)lambda=1.0, mu=0.0, rho=0.0, voting=false2026.0464.2454.8223.36
Qwen2.5-1.5B-InstructRL Method=None, Data type=None2026.0264.1649.9823.48
DCCDModel Size=14B, Backbone=Qwen 2.5 14B2026.0253——
CFModel Size=14B, Backbone=Qwen 2.5 14B2026.0249——
Latent Thinking OptimizationModel=Mistral-7B2025.0946.2——
Latent Thinking OptimizationModel=Llama-2-13B2025.0944.2——
Latent Thinking OptimizationModel=Llama-2-13B2025.0944.2——
CPModel Size=14B, Backbone=Qwen 2.5 14B2026.0244——
Majority VotingModel=Mistral-7B2025.0941.3——
DCCDModel Size=7B, Backbone=Qwen 2.5 7B2026.0241——
Majority VotingModel=Llama-2-13B2025.0937.9——
Majority VotingModel=Llama-2-13B2025.0937.9——
CDModel Size=14B, Backbone=Qwen 2.5 14B2026.0237——
DCCDModel Size=3B, Backbone=Qwen 2.5 3B2026.0236——
Galactica-125M (GRPO)lambda=0.5, mu=0.5, rho=0.0, voting=false2026.0435.3611.182.2
Latent Thinking OptimizationModel=Llama-2-7B2025.0931.6——
Latent Thinking OptimizationModel=Llama-2-7B2025.0931.6——
CPModel Size=7B, Backbone=Qwen 2.5 7B2026.0231——
Latent Thinking Optimization w. LRMModel=Huginn-3.5B2025.0930.5——
Majority VotingModel=Llama-2-7B2025.0930.2——
Majority VotingModel=Llama-2-7B2025.0930.2——
Weighted Majority Voting w. LRMModel=Huginn-3.5B2025.0930.1——
DCCDModel Size=8B, Backbone=Llama 3.1 8B2026.0230——
CFModel Size=7B, Backbone=Qwen 2.5 7B2026.0229——
Self-Correction w. Confidence ScoreModel=Huginn-3.5B2025.0928.1——
Base ModelModel=Mistral-7B2025.0927.8——
Base ModelModel=Llama-2-13B2025.0927.3——
Base ModelModel=Llama-2-13B2025.0927.3——
Majority VotingModel=Huginn-3.5B2025.0926.9——
Base ModelModel=Huginn-3.5B2025.0926.5——
Galactica-125M (GRPO)lambda=1.0, mu=0.0, rho=0.0, voting=false2026.0426.37.981.36
CDModel Size=7B, Backbone=Qwen 2.5 7B2026.0226——
Latent Thinking Correction w. CoE-RModel=Huginn-3.5B2025.0925.9——
Latent Thinking Correction w. CoE-CModel=Huginn-3.5B2025.0925.6——
CFModel Size=3B, Backbone=Qwen 2.5 3B2026.0225——
CFModel Size=1.5B, Backbone=Qwen 2.5 1.5B2026.0223——
DCCDModel Size=1.5B, Backbone=Qwen 2.5 1.5B2026.0223——
Base ModelModel=Llama-2-7B2025.0920.4——
Base ModelModel=Llama-2-7B2025.0920.4——
Self-Correction w. Verbal EvaluationModel=Huginn-3.5B2025.0919.3——
CPModel Size=3B, Backbone=Qwen 2.5 3B2026.0219——
CDModel Size=8B, Backbone=Llama 3.1 8B2026.0219——
CDModel Size=3B, Backbone=Qwen 2.5 3B2026.0217——
CPModel Size=8B, Backbone=Llama 3.1 8B2026.0217——
Latent Thinking OptimizationModel=OLMo-7B2025.0915.4——
Majority VotingModel=OLMo-7B2025.0914.9——
CFModel Size=8B, Backbone=Llama 3.1 8B2026.0214——
CDModel Size=1.5B, Backbone=Qwen 2.5 1.5B2026.0212——
CPModel Size=1.5B, Backbone=Qwen 2.5 1.5B2026.0211——
CFModel Size=1B, Backbone=Llama 3.2 1B2026.029——
DCCDModel Size=1B, Backbone=Llama 3.2 1B2026.029——
Base ModelModel=OLMo-7B2025.097.8——
CPModel Size=1B, Backbone=Llama 3.2 1B2026.026——
CDModel Size=1B, Backbone=Llama 3.2 1B2026.020——