GEM: Empowering LLM for both Embedding Generation and Language Understanding

from Arxiv Papers · host Igor Melnyk

The paper introduces GEM, a self-supervised method enabling decoder-only LLMs to generate high-quality text embeddings, enhancing performance on embedding benchmarks while preserving original text generation capabilities. https://arxiv.org/abs//2506.04344 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

Episode metadata supplied by the publisher feed · Published Jun 6, 2025

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GEM: Empowering LLM for both Embedding Generation and Language Understanding

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