Rohan Paul Shares Paper on Multi-Turn Agent Training

Rohan Paul posted on X that a paper describes a better way to train multi-turn agents. The approach, according to his message, scores each turn separately and then applies a self-teacher to focus training. Paul is identified in the post as a Bengaluru-based machine learning engineer, Kaggle Master, YouTuber, and writer of a daily AI newsletter. The statement appears only as a retweet with no additional details or independent confirmation provided in the visible source line.