Update README.md

README.md

@@ -31,7 +31,7 @@ This model implements the methodology from **"Decompiling Smart Contracts with a
 
 ## Overview
 
-Traditional decompilers (Panoramix, Heimdall) produce low-level, hard-to-read output with ~0.4–0.5 semantic similarity to original source. This model achieves **~0.82 semantic similarity** by combining deterministic static analysis with neural code generation in a two-stage pipeline:
+Traditional decompilers (Panoramix, Heimdall) produce low-level, hard-to-read output with 0.4–0.5 semantic similarity to original source. This model achieves **0.82 semantic similarity** by combining deterministic static analysis with neural code generation in a two-stage pipeline:
 
 1. **Bytecode → TAC** — Static analysis converts raw EVM bytecode into a Three-Address Code (TAC) intermediate representation (control flow graph, basic blocks, jump targets, function selectors).
 2. **TAC → Solidity** — This fine-tuned LLM generates readable Solidity from the TAC representation.