XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration

ArXi:2505.11336v4 Announce Type: replace Despite the growing adoption of large language models (LLMs) in academic workflows, their capabilities remain limited in ing high-quality scientific writing. Most existing systems are designed for general-purpose scientific text generation and fail to meet the sophisticated demands of research communication beyond surface-level polishing, for example, maintaining conceptual coherence across sections. Furthermore, academic writing is inherently iterative and revision-driven, a process that is not well ed by direct prompting-based paradigms.