Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models research paper by DeepSeek, 2024

DeepSeek · Inference and efficiency · Jul 2, 2024 · 26 citations · 44 upvotes · unverified

Research on parameter-efficient fine-tuning for Large Language Models with Mixture-of-Experts architecture reveals that task-specific expert tuning can enhance performance and efficiency.

By Zihan Wang, Deli Chen, Damai Dai and 3 more · arXiv 2407.01906 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper

Venue: Conference on Empirical Methods in Natural Language Processing
Citations: 26, 2 influential · Semantic Scholar
Upvotes: 44 · Hugging Face
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CitationsNov 9, 2026Citations rose from 25 to 26.

CitationsNov 2, 2026Influential citations rose from 1 to 2.

CitationsNov 2, 2026Citations rose from 24 to 25.

CitationsOct 5, 2026Citations rose from 23 to 24.

CitationsSep 25, 2026A first count of 1 influential citations.

CitationsSep 25, 2026A first count of 23 citations.

New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.

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