AI大佬教你如何中顶会：写论文也要关注「叙事」

Core Viewpoint - The article discusses a guide by Neel Nanda from Google DeepMind on how to write high-quality machine learning papers, emphasizing the importance of clarity, narrative, and evidence in research writing [2][3][7]. Group 1: Writing Essentials - The essence of an ideal paper lies in its narrative, which should tell a concise, rigorous, evidence-based technical story that includes key points of interest for the reader [8]. - Papers should compress research into core claims supported by rigorous empirical evidence, while also clarifying the motivation, problems, and impacts of the research [11]. Group 2: Key Writing Elements - Constructing a narrative involves distilling interesting, important, and unique results into 1-3 specific novel claims that form a coherent theme [13]. - Timing in writing is crucial; researchers should list their findings, assess their evidential strength, and focus on the highlights before entering the writing phase [14]. - Novelty should be highlighted by clearly stating how the results expand knowledge boundaries and differentiating from previous work [15]. - Providing rigorous evidence is essential, requiring experiments that can distinguish hypotheses and maintain reliability, low noise, and statistical rigor [16]. Group 3: Paper Structure - The abstract should spark interest, succinctly present core claims and research impact, and explain key claims and their basis [18]. - The introduction should outline the research background, key contributions, core evidence, and significance in a list format [26]. - The main body should cover background, methods, and results, explaining relevant terms and detailing experimental methods and outcomes [26]. - The discussion should address research limitations and explore broader implications and future directions [26]. Group 4: Writing Process and Common Issues - The writing process should begin with compressing research content to clarify core claims, motivations, and key evidence, followed by iterative expansion [22]. - Common issues include excessive focus on publication, overly complex content, and neglecting the writing process; solutions involve prioritizing research, using clear language, and managing time effectively [24].