The field of peer grading and review systems is moving towards designing more accurate, equitable, and pedagogically meaningful systems. Researchers are exploring various evaluation approaches, reviewer weighting strategies, and reviewer assignment strategies to improve the efficacy of peer assessment. The development of comprehensive taxonomies and benchmarks is also underway to organize and evaluate peer grading systems. Noteworthy papers include: Scaling Success, which proposes a comprehensive taxonomy for peer grading systems and highlights the strengths and limitations of different design choices. MMReview, which introduces a multidisciplinary and multimodal benchmark for LLM-based peer review automation, providing a standardized foundation for the development of automated peer review systems.