Why choose Murfy over Overleaf for writing NeurIPS paper
“When the Overleaf server went down the day before the deadline, we switched to Murfy to finish – and our paper was accepted to NeurIPS.” During the final hours before submission, just a few hours of downtime can determine the fate of an entire project.
Professor Sang‑hoon Lee ’s research lab at Ajou University faced exactly this kind of crisis — and in that moment adopted Murfy, discovering the true value of an AI‑based LaTeX editor. In this post, we share their real user experience of writing a NeurIPS‑accepted paper using Murfy, based on an interview with Professor Lee’s laboratory.
Foresight Boosts Text-to-Video Speed with Adaptive Layer Reuse (No Retraining)
Text-to-video generation has seen rapid progress thanks to large-scale diffusion models. However, maintaining generation quality while significantly reducing inference time remains a persistent challenge.
The paper “Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation” introduces a clever solution: reuse internal model layers adaptively during inference—without retraining. This strategy allows for faster generation (1.63× improvement) while keeping the visual fidelity intact.
In this post, we’ll break down the core idea behind Foresight, how it achieves speed without sacrificing quality, and why this could reshape efficient video generation pipelines in research and industry alike.
Overleaf vs Murfy: 2025 Multi-Author Revisions, Who Wins?
In multi-author projects, the name of the game is agree fast, compile clean, submit without waste. For Murfy blog readers, here’s a practical comparison that highlights where Murfy outperforms Overleaf.

Research paper publication efficiency with the Henry Ford-style research system
A researcher's life is always busy and challenging. Endless experiments, meetings, and mentoring graduate students—none of these tasks are easy. Especially when it comes to publishing papers, many researchers feel as if they are “climbing over a mountain.” But must we really start from scratch every single time?
This article introduces a systematic and repeatable research strategy that can increase publication success rates while reducing stress.
Just as Henry Ford revolutionized production through automated assembly lines, adopting efficient methods in research can lead to more publications completed with less stress.
Let’s explore how this can be achieved step by step.
