REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning

arXiv '25 2025 27.6 method, application

Read-first score

Read-first score 27.6, weighted from topical fit, citation, graph, method, reproducibility, and recency signals.

Recency 11%

86.7

Uses a gentle age decay so recent papers surface without erasing older foundations. 2025

Reproducibility 33%

Screens links and visible text for paper, code, dataset, artifact, and repository signals. pdf=True; code=False; dataset=False; markers=none

Topical relevance 56%

14.3

Matches configured research keywords against title, abstract, tags, and analysis text. matched=3

Frontier

Stability: volatile; rank range: 32.