Design a Complete Multimodal RLVR Pipeline with Open-MM-RL, Vision-Language Prompting, Reward Scoring, and GRPO Export
EXTRACT_PATS = [ r”\\boxed\{([^{}]+)\}”, r”final\s+answer\s*[:=]\s*([^\n]+)”, r”answer\s*[:=]\s*([^\n]+)”, ] def extract_final(text): if not text: return “” for p in EXTRACT_PATS: m = re.search(p, text, flags=re.IGNORECASE) if m: return m.group(1).strip().strip(“.,;”) lines = [l.strip() for l in str(text).strip().splitlines() if l.strip()] return lines[-1] if lines else “” def latex_to_sympy(s): s = (s or “”).strip().strip(“$”).strip() s = re.sub(r”^\\[\[\(]”, “”, s); s…