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[QA] Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically
The paper explores inductive bias in transformer models, showing language modeling training leads to hierarchical generalization, supported by pruning experiments and Bayesian analysis.
https://arxiv.org/abs//2404.16367
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
The paper explores inductive bias in transformer models, showing language modeling training leads to hierarchical generalization, supported by pruning experiments and Bayesian analysis.
https://arxiv.org/abs//2404.16367
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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