code: def model_section_title_tex(section: str, model: str) -> str:
      if model == "roscoe-512-roberta-base":
          model_name = "finetuned \\textit{sup-simcse-roberta-base}"
      elif model == "all-mpnet-base-v2":
          model_name = "\\textit{all-mpnet-base-v2}"
      elif model == "sup-simcse-roberta-base":
          model_name = "\\textit{sup-simcse-roberta-base}"
      else:
          raise NotImplementedError()
      return f"{LATEX_ROW_MAPPING[section]}~with {model_name} sentence embeddings"
  
file_path: ParlAI/projects/roscoe/meta_evaluation/table_file_writing.py
imports: import copy
  import csv
  import math
  import os
  import pandas
  from typing import Dict, List, Union
  from projects.roscoe.score import FAITHFUL_SENT, FAITHFUL_WORD, INFORM_STEP, REPETITION_WORD, INFORM_CHAIN, REPETITION_SENT, COHERENCE_STEP_VS_STEP, DISCOURSE_REPRESENTATION, GRAMMAR_STEP, PPL_STEP, PPL_CHAIN
label_desc: Use image node_id 2 for calling a global function with example usage: model_section_title_tex(section, model) and returns: LATEX_ROW_MAPPING, str, model_name, str