Update README.md

README.md

@@ -41,7 +41,7 @@ Raffaele Pisano and Roberto Navigli, ACL 2026
 
 ## Why PDDL2PRM?
 
-Process Reward Models aim to evaluate reasoning **step by step**, rather than judging only the final answer. This is crucial because language models can produce a correct final answer while still making invalid, inconsistent, or unsupported intermediate reasoning steps. (Turpin et al., 2023; Lightman et al., 2024; Zheng et al., 2025;  Molfese et al., 2026)
+Process Reward Models aim to evaluate reasoning **step by step**, rather than judging only the final answer. This is crucial because language models can produce a correct final answer while still making invalid, inconsistent, or unsupported intermediate reasoning steps (Turpin et al., 2023; Lightman et al., 2024; Zheng et al., 2025;  Molfese et al., 2026).
 
 However, high-quality step-level supervision is difficult to obtain:
 - manual annotation is expensive and hard to scale;