Actually, the BR-CSGAN is a weighted sum of the naive GAN (λ=1) and MRT (λ=0), and it incorporates the advantages of the two approaches.
compared to naive GAN which is trained without specific objective guidance, BR-CSGAN utilizes the BLEU objective to guide the generator to generate sentences with higher BLEU points.