Update README.md

README.md

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 PRM-Math-7B-Reasoner is a fully reproducible model, fine-tuned on the Qwen2.5-Math-7B-PRM800K dataset, designed to evaluate its ability to identify erroneous steps in mathematical reasoning. The model is used for reward computation, where after each step, a special token "<extra_0>" is inserted. For reward calculation, the probability score of this token being classified as positive is extracted, resulting in a reward value between 0 and 1. It is primarily utilized for solution reformatting in mathematically driven tasks and as a Long Context Full Reasoner.  
 
-# Reformatting Reasoning Intermediate
+# **PROCESSBENCH : PAPER**
+
+*PROCESSBENCH: Identifying Process Errors in Mathematical Reasoning (arXiv)* : https://arxiv.org/pdf/2412.06559
+
+# **Reformatting Reasoning Intermediate**
 
 | **Section**          | **Content**                                                                                                                                                                                                 |
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