text: to evaluate its ability to encode and reason about compositional concepts.     questions = [    "What are Heat-bath random walks with Markov base? Include references to answer.",]chat_history = []for question in questions:    result = qa({"question": question, "chat_history": chat_history})    chat_history.append((question, result["answer"]))    print(f"-> **Question**: {question} \n")    print(f"**Answer**: {result['answer']} \n")    -> **Question**: What are Heat-bath random walks with Markov base? Include references to answer.         **Answer**: Heat-bath random walks with Markov base (HB-MB) is a class of stochastic processes that have been studied in the field of statistical mechanics and condensed matter physics. In these processes, a particle moves in a lattice by making a transition to a neighboring site, which is chosen according to a probability distribution that depends on the energy of the particle and the energy of its surroundings.        The HB-MB process was introduced by Bortz, Kalos, and Lebowitz in 1975 as a way to simulate the dynamics of interacting particles in a lattice at thermal equilibrium. The method has been used to study a variety of physical phenomena, including phase transitions, critical behavior, and transport properties.        References:        Bortz, A. B., Kalos, M. H., & Lebowitz, J. L. (1975). A new algorithm for Monte Carlo simulation of Ising spin systems. Journal of Computational Physics, 17(1), 10-18.        Binder, K., & Heermann, D. W. (2010). Monte Carlo simulation in statistical physics: