List your company

Natural Language Understanding on (Winogrande, PIQA, WSC, WNLI, SST-2, RTE, QNLI, CB, ARC-e, ARC-c) (test)

75.61Winogrande AccuracyDense
58.949263.274667.671.9254Jan 12, 2026

Evaluation results

MethodLinks
DenseModel=Llama2-13B, Ratio=0.00%2026.0175.6179.7153.8566.287.6169.3158.5680.3681.8253.1670.62
DenseModel=Qwen-14B, Ratio=0.00%2026.0175.380.0169.2373.2495.0780.5174.8187.581.1452.4776.93
DenseModel=Llama2-7B, Ratio=0.00%2026.0172.8578.2454.8159.1585.8966.0654.660.717947.7865.91
DenseModel=Qwen-7B, Ratio=0.00%2026.0171.9879.2273.0864.7994.1583.7574.2476.7979.0448.0474.51
LLM-PrunerModel=Llama2-13B, Ratio=25.35%2026.0171.7473.0736.5443.6666.8652.7149.942.8666.0832.4253.58
SliceGPTModel=Llama2-13B, Ratio=25.28%2026.0170.7263.1744.2343.6651.1552.7150.5841.0765.0333.7951.61
MI-PRUNModel=Llama2-7B, Ratio=15.32%2026.0169.6973.563.4660.5683.9460.2950.9162.567.2139.4263.15
MI-PRUNModel=Qwen-14B, Ratio=15.58%2026.0169.4672.2581.7371.8395.4180.8769.8983.9367.3843.6973.64
MI-PRUNModel=Qwen-7B, Ratio=13.11%2026.0169.373.7863.4661.9794.0471.8450.5462.566.2539.9365.36
ShortGPTModel=Llama2-7B, Ratio=15.32%2026.0167.7271.636.5443.6649.253.4350.1939.2965.6639.4251.67
ShortGPTModel=Qwen-7B, Ratio=13.11%2026.0167.473.0163.4663.3893.1280.8750.5460.7162.9635.8465.13
ShortGPTModel=Qwen-14B, Ratio=15.58%2026.0167.470.1836.5471.8394.1580.5149.4687.563.7239.3366.06
LLM-PrunerModel=Llama2-7B, Ratio=15.30%2026.0164.7276.0636.5456.3465.8352.7151.246.4364.8636.6955.14
ShortGPTModel=Llama2-13B, Ratio=24.37%2026.0164.1771.9358.6559.1550.5768.9549.8357.1450.1740.5357.11
SliceGPTModel=Llama2-7B, Ratio=15.34%2026.0163.0667.0363.4645.0752.6459.5750.6342.8655.2634.5653.41
MI-PRUNModel=Llama2-13B, Ratio=24.37%2026.0159.5972.3659.6266.270.8769.3150.6178.5760.0240.2762.74