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ML researcher questions ethics of reusing baseline benchmarks in separate papers

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/MachineLearning subreddit is seeking advice regarding the ethical implications of reusing baseline model results in separate research papers. They question whether reporting identical baseline benchmarks for models like GPT-4 and Claude 3 in two different publications could be considered plagiarism, especially when the proposed models differ. The user noted receiving downvotes for their query. AI

RANK_REASON The item is a user query on Reddit about a potential ethical issue, not a primary source announcement or significant industry event.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ML researcher questions ethics of reusing baseline benchmarks in separate papers

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The item is a user query on Reddit about a potential ethical issue, not a primary source announcement or significant industry event.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Jealous_Key_4030 ·

    Duplicating baseline benchmarks [D]

    <!-- SC_OFF --><div class="md"><p>Suppose I create two machine learning models suppose tree and neural network for a task let's suppose regression problem, now suppose I am sending both of this paper to two different journals, now the thing is the baseline models I need to only r…

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