This guide synthesizes advice from Neel Nanda, Ethan Perez, Jacob Foerster, and Jacob Steinhardt on writing effective ML papers.
A paper should present a narrative of one to three specific concrete claims that you believe to be true, building to useful takeaways. Everything else exists to support this narrative. The second pillar is rigorous evidence for why these claims are true.
What makes a good narrative: