VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse
Published:Dec 16, 2025 16:08
•1 min read
•ArXiv
Analysis
The article introduces VersatileFFN, a method for improving parameter efficiency in Large Language Models (LLMs). The approach utilizes adaptive wide-and-deep reuse, suggesting a novel way to optimize model size and potentially improve performance. The source being ArXiv indicates this is likely a research paper, focusing on technical details and experimental results.
Key Takeaways
Reference
“”