1
BitNet Text Embeddings
BitNet二值化网络实现高效文本嵌入，为资源受限场景提供轻量级NLP新方案。
arXiv:2606.25674v1 Announce Type: new Abstract: LLM-based text embedders have substantially improved retrieval and semantic representation quality, bu…
2
Rethinking Molecular Text Representations for LLMs: An Empirical Study
分子文本表示如何影响大语言模型性能？这项实证研究揭示关键发现，为化学与AI交叉领域提供新思路。
arXiv:2606.03057v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for molecular tasks, but it remains unclear which…
3
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
多语言文本嵌入新方案ML-Embed，突破成本、语种和透明壁垒，迈向包容高效未来。
arXiv:2605.15081v1 Announce Type: cross Abstract: The development of high-quality text embeddings is increasingly drifting toward an exclusionary futu…