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Reviewer Assignment on LR-Bench

0.1795Loss (LR-PC)RATE
0.1706160.2305830.290550.350517Jan 27, 2026

Evaluation results

MethodLinks
RATEProfiling LLM=Qwen3-Max, Embedding Model=RATE-8B2026.010.17950.19260.19910.190476.8975.2580.0977.41
RATEProfiling LLM=GLM-4.6, Embedding Model=RATE-8B2026.010.18750.18950.21250.196575.9475.5178.0576.78
SPECTER2 PRXMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.19020.21760.21440.207474.0672.8978.5675.17
RATEProfiling LLM=Qwen3-Max, Embedding Model=RATE-0.6B2026.010.19550.20350.23780.212375.4774.3276.2275.34
RATEProfiling LLM=GLM-4.6, Embedding Model=RATE-0.6B2026.010.20080.19890.2350.211674.5374.8376.575.29
SPECTERMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.20480.21710.26720.229773.5873.3173.2873.39
SciNCLMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.23540.21140.21410.220369.3473.978.5973.64
TPMSMethod Category=Statistical-based2026.010.26460.23330.28110.259770.2872.371.8971.49
Qwen3-maxMethod Category=LLM-based2026.010.27130.22890.22460.241647.1755.3277.5460.01
DeepSeek-V3.2Method Category=LLM-based2026.010.27790.23510.22370.24565053.8977.3660.42
BERTScoreMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.28460.3390.32160.315365.5762.0867.8465.16
CoFMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.29390.22180.25640.257465.5773.3174.3671.08
ACLMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.33380.30380.31630.31861.3265.9668.3765.22
SciBERTMethod Category=Embedding-based, Pooling strategy=Best performing2026.010.40160.4410.35050.397757.5555.1564.9559.22