Run2 extract pdf content

1. Install necessary extraction tools: pip install pdfplumber.
2. Use a Python script to parse /root/SimPO/paper.pdf.
3. Target sections involving "SimPO", "Loss Function", "Length Normalization", and "Reward Margin".
4. Specifically look for:
   • The formula for $\mathcal{L}_{\text{SimPO}}$.
   • The definition of the reward margin ($\gamma$) and the scaling factor ($\beta$).
   • How length normalization is applied to log probabilities (e.g., dividing by sequence length).
5. Save the extracted text or key formulas to a temporary file or variable for reference during implementation.

import pdfplumber

def extract_simpo_details(pdf_path):
    with pdfplumber.open(pdf_path) as pdf:
        full_text = ""
        for page in pdf.pages:
            full_text += page.extract_text() + "\n"
    return full_text

# Example usage to find specific parameters
# text = extract_simpo_details("/root/SimPO/paper.pdf")
# print(text)