This repository contains the source code and data in the paper.
To set up the environment and install the required dependencies, please follow these steps:
# Step 1: Create conda environment
conda create -n Alper -c conda-forge python=3.12
# Step 2: Activate the environment
conda activate Alper
# Step 3: Install dependencies
pip install -r requirements.txtFor detailed installation instructions, please refer to INSTALLATION.txt.
Use the provided script to run experiments on multiple datasets:
cd src
bash run_table_experiments.shRun the main script with specific parameters:
python main.py --dataset <dataset_name> --budget <budget> --model gpt-5-mini [options]Results are saved in the alper_results/ directory with the following format:
{dataset_name}_alper_llm_{timestamp}.json- Main results{dataset_name}_alper_{timestamp}_llm_logs.json- Detailed LLM logs