Papers by Jeff Z. HaoChen

1 papers
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models (2023.findings-acl)

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Challenge: Recent studies show that some tasks exhibit inverse scaling, or U-shaped scaling, where the performance degrades as models are scaled up.
Approach: They propose a task that asks questions with negation to show positive scaling . they hypothesize that solving NeQA depends on question answering and negation understanding .
Outcome: The proposed task can exhibit inverse scaling, U-shaped scaling, or positive scaling, and the scaling trends shift as the task is more powerful.

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