# High-precision Evaluation

A decision tree reward model fine-tuned based on Gemma-2-27B, used to evaluate the quality of content generated by language models, with outstanding performance on the RewardBench leaderboard.

A text classification model fine-tuned on the GLUE dataset based on bert-base-cased, excelling in grammatical acceptability judgment tasks

This model is a fine-tuned version of XLMR-ENIS on the GLUE dataset, specifically designed for sentence similarity tasks, with outstanding performance on the STSB subset.

A text similarity calculation model fine-tuned on the GLUE STSB dataset based on bert-base-cased