Xtra-Computing/XtraGPT-3B
Xtra-Computing's XtraGPT-3B is a 3 billion parameter large language model, part of the XtraGPT family, specifically fine-tuned for human-AI collaborative academic paper revision. Based on Meta's Llama-3.2-3B-Instruct, it is designed to understand the full context of research papers and execute criteria-guided revision instructions. This model excels at providing context-aware and controllable revisions across 20 academic writing criteria, supporting an iterative workflow for authors.
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XtraGPT-3B: Context-Aware Academic Paper Revision
XtraGPT-3B is a 3 billion parameter model from the XtraGPT family, specifically engineered for human-AI collaborative academic paper revision. Unlike general-purpose LLMs, this model is fine-tuned to deeply understand the full context of a research paper, enabling it to perform targeted, criteria-guided revisions.
Key Capabilities
- Context-Aware Revision: Processes the entire paper to ensure revisions maintain consistency with the global narrative and academic standards.
- Controllable Output: Follows precise user instructions, aligning with 20 academic writing criteria across six paper sections (e.g., Abstract, Introduction).
- Collaborative Workflow: Designed to integrate into a Human-AI Collaborative (HAC) lifecycle, empowering authors to retain creative control while leveraging AI assistance.
- Specialized Training: Trained on a unique dataset of 140,000 high-quality instruction-revision pairs derived from top-tier conference papers (ICLR).
Good For
- Academic Authors: Ideal for researchers and academics seeking intelligent assistance in refining their papers, ensuring clarity, conciseness, and adherence to specific academic writing standards.
- Iterative Editing: Supports an iterative revision process where users can provide specific instructions for targeted improvements.
- Maintaining Consistency: Ensures that revisions are consistent with the overall paper's content and argument, preventing isolated changes that might disrupt the narrative flow.
This model is released under the highly permissive ModelGo Zero License 2.0 (MG0-2.0), allowing for unrestricted use, reproduction, distribution, and creation of derivative works, including for commercial purposes, without attribution.