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Social Commonsense Reasoning on SocialIQA

87.11AccuracyHard-routing MoE
42.816454.315765.81577.3143Oct 8, 2025Nov 9, 2025Dec 12, 2025Jan 14, 2026Feb 16, 2026Mar 21, 2026Apr 23, 2026

Evaluation results

MethodLinks
Hard-routing MoEBackbone=Qwen2.5-7B-Instruct, # Params (%)=14.2G (100%), # Trans. (%)=14.2G (100%), Fine-tuning setting=DFL, Rank (rl)=322026.0287.11——
Sparse-and-Orthogonal LoRABackbone=Qwen2.5-7B-Instruct, # Params (%)=87M (0.60%), # Trans. (%)=42M (0.30%), Fine-tuning setting=DFL, Rank (rl)=322026.0285.52——
FPFTBackbone=Qwen2.5-7B-Instruct, # Params (%)=14.2G (100%), # Trans. (%)=14.2G (100%), Fine-tuning setting=DFL, Rank (rl)=322026.0283.96——
Sparse-and-Orthogonal LoRA (Single)Backbone=Qwen2.5-7B-Instruct, # Params (%)=87M (0.60%), # Trans. (%)=42M (0.30%), Fine-tuning setting=DFL, Rank (rl)=322026.0283.74——
LoRIBackbone=Qwen2.5-7B-Instruct, # Params (%)=168M (1.16%), # Trans. (%)=168M (1.16%), Fine-tuning setting=DFL, Rank (rl)=322026.0283.4——
Hard-routing MoEBackbone=Qwen2.5-1.5B-Instruct, # Params (%)=3.2G (100%), # Trans. (%)=3.2G (100%), Fine-tuning setting=DFL, Rank (rl)=322026.0283.04——
O32026.0382.91——
GPT-52026.0382.69——
GPT-5Mode=COT2026.0381.63——
LoRABackbone=Qwen2.5-7B-Instruct, # Params (%)=362M (2.5%), # Trans. (%)=362M (2.5%), Fine-tuning setting=DFL, Rank (rl)=322026.0280.99——
DeepSeek-R12026.0380.6——
Distill-Llama-70B2026.0380.55——
Qwen3 14B BaseClassifier=Self-labeled2026.0179.9——
Qwen3 14B BaseClassifier=Majority-labeled2026.0179.8——
O3Mode=COT2026.0379.63——
GPT-4oMode=COT2026.0379.53——
Sparse-and-Orthogonal LoRABackbone=Qwen2.5-1.5B-Instruct, # Params (%)=16M (0.54%), # Trans. (%)=8M (0.27%), Fine-tuning setting=DFL, Rank (rl)=322026.0279.49——
Mistral Small 24B Inst 2501Classifier=Self-labeled2026.0179.220—
Mistral Small 24B Inst 2501Classifier=Majority-labeled2026.0179.220—
LoRABackbone=Qwen2.5-1.5B-Instruct, # Params (%)=65.5M (2.01%), # Trans. (%)=65.5M (2.01%), Fine-tuning setting=DFL, Rank (rl)=322026.0279.2——
FPFTBackbone=Qwen2.5-1.5B-Instruct, # Params (%)=3.2G (100%), # Trans. (%)=3.2G (100%), Fine-tuning setting=DFL, Rank (rl)=322026.0279.16——
Qwen3 8B BaseClassifier=Self-labeled2026.0178.820—
Qwen3 8B BaseClassifier=Majority-labeled2026.0178.820—
Qwen3 8B BaseClassifier=Self-labeled2026.0178.8——
Qwen3 8B BaseClassifier=Majority-labeled2026.0178.8——
LoRIBackbone=Qwen2.5-1.5B-Instruct, # Params (%)=32M (1.05%), # Trans. (%)=32M (1.05%), Fine-tuning setting=DFL, Rank (rl)=322026.0278.64——
GPT-4o2026.0378.4——
Sparse-and-Orthogonal LoRA (Single)Backbone=Qwen2.5-1.5B-Instruct, # Params (%)=16M (0.54%), # Trans. (%)=8M (0.27%), Fine-tuning setting=DFL, Rank (rl)=322026.0278.38——
Qwen3-32B2026.0377.74——
SocialR1-8BAblation=only Rout2026.0377.74——
SocialR1-8BAblation=Full2026.0377.53——
Qwen3-8B2026.0377.28——
Qwen3-32BThinking=Disabled2026.0376.15——
Qwen3-8BThinking=Disabled2026.0376——
Qwen3 14BClassifier=Self-labeled2026.0175.9——
Qwen3 8BClassifier=Self-labeled2026.0175.8——
Qwen3 8BClassifier=Majority-labeled2026.0175.8——
Qwen3 14BClassifier=Majority-labeled2026.0175.8——
LLaMa3.1-70BMode=COT2026.0375.74——
SocialR1-8BAblation=w/o Rlen2026.0375.74——
SocialR1-4BAblation=Full2026.0375.08——
Qwen3-4B2026.0374.51——
SocialR1-4BAblation=w/o Rlen2026.0374.51——
Qwen3 4B BaseClassifier=Self-labeled2026.0174——
Qwen3 4B BaseClassifier=Majority-labeled2026.0174——
Mistral Nemo Inst 2407Classifier=Self-labeled2026.0173.4-10—
Mistral Nemo Inst 2407Classifier=Majority-labeled2026.0173.4-10—
SocialR1-8BAblation=w/o Rcont2026.0373.23——
SocialR1-4BAblation=only Rout2026.0373.18——
Qwen3-4BThinking=Disabled2026.0373.13——
SocialR1-8BAblation=w/o Rstruct2026.0373.08——
SocialR1-4BAblation=w/o Rcont2026.0372.82——
Qwen3 4BClassifier=Self-labeled2026.0172.2——
Qwen3 4BClassifier=Majority-labeled2026.0172.2——
SocialR1-4BAblation=w/o Rstruct2026.0372.01——
Llama 3.1 8B InstClassifier=Self-labeled2026.0170.70—
Llama 3.1 8B InstClassifier=Majority-labeled2026.0170.6-20—
Mistral Small 24B Base 2501Classifier=Self-labeled2026.0170.220—
Mistral Small 24B Base 2501Classifier=Majority-labeled2026.0170.220—
Qwen3 1.7B BaseClassifier=Self-labeled2026.0169.4——
Qwen3 1.7B BaseClassifier=Majority-labeled2026.0169.4——
Mistral 7B Inst v0.3Classifier=Self-labeled2026.0168.930—
Mistral 7B Inst v0.3Classifier=Majority-labeled2026.0168.930—
Llama 3.2 3B InstClassifier=Majority-labeled2026.0168.140—
Llama 3.2 3B InstClassifier=Self-labeled2026.016830—
Mistral Nemo Base 2407Classifier=Majority-labeled2026.0164.910—
Mistral Nemo Base 2407Classifier=Majority-labeled2026.0164.910—
Mistral Nemo Base 2407Classifier=Self-labeled2026.0164.7-20—
Mistral Nemo Base 2407Classifier=Self-labeled2026.0164.7-20—
Llama 3.1 8BClassifier=Self-labeled2026.0162.70—
Llama 3.1 8BClassifier=Self-labeled2026.0162.70—
Llama 3.1 8BClassifier=Majority-labeled2026.0162.6-10—
Llama 3.1 8BClassifier=Majority-labeled2026.0162.6-10—
Qwen3 1.7BClassifier=Self-labeled2026.0162.5——
Qwen3 1.7BClassifier=Majority-labeled2026.0162.5——
Mistral 7B v0.3Classifier=Majority-labeled2026.0161.1-10—
Mistral 7B v0.3Classifier=Majority-labeled2026.0161.1-10—
Mistral 7B v0.3Classifier=Self-labeled2026.0160.8-30—
Mistral 7B v0.3Classifier=Self-labeled2026.0160.8-30—
Llama 3.2 3BClassifier=Self-labeled2026.0159.910—
Llama 3.2 3BClassifier=Majority-labeled2026.0159.920—
Qwen3 0.6B BaseClassifier=Majority-labeled2026.0158——
Qwen3 0.6B BaseClassifier=Self-labeled2026.0157.9——
Llama 3.2 1B InstClassifier=Self-labeled2026.0155.440—
Llama 3.2 1B InstClassifier=Majority-labeled2026.0155.110—
Qwen3 0.6BClassifier=Self-labeled2026.0152-30—
Qwen3 0.6BClassifier=Majority-labeled2026.0152-30—
Qwen3 0.6BClassifier=Self-labeled2026.0152——
Qwen3 0.6BClassifier=Majority-labeled2026.0152——
Llama 3.2 1BClassifier=Self-labeled2026.0148.550—
Llama 3.2 1BClassifier=Self-labeled2026.0148.550—
Llama 3.2 1BClassifier=Majority-labeled2026.0148.110—
Llama 3.2 1BClassifier=Majority-labeled2026.0148.110—
DCLMPre-training Curation Strategy=Human Discovered, Model Parameters=3B, Training Token Budget=500B tokens2026.0347.51——
TRIMBackbone=LLAMA-3.2-1B, Coreset size (%)=5%, Fine-tuning protocol=Coreset fine-tuning, Evaluation protocol=EleutherAI lm-evaluation-harness2025.1046.26——
LLaMa3.1-70B2026.0346.21——
Full-data Fine-tuningBackbone=LLAMA-3.2-1B, Coreset size (%)=100%, Fine-tuning protocol=Full, Evaluation protocol=EleutherAI lm-evaluation-harness2025.1045.04——
Fineweb-EduPre-training Curation Strategy=Human Discovered, Model Parameters=3B, Training Token Budget=500B tokens2026.0345.02——
MoRTBackbone Scale=1.15B Scale, Cfg=4x, # Params=1.15B+14.94B, Evaluation Protocol=Zero/Few-shot2026.0444.7——
LESSBackbone=LLAMA-3.2-1B, Coreset size (%)=5%, Fine-tuning protocol=Coreset fine-tuning, Evaluation protocol=EleutherAI lm-evaluation-harness2025.1044.52——