🔗 Who cites «Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs»

1. Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Zifeng Cheng, Zhonghui Wang, Yuchen Fu, et al.2025 · 8 citations
2. Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in TelegramUkrainian Natural Language Processing WorkshopAnton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, et al.2025 · 2 citations
3. KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yixuan Tang, Yi Yang2026 · 1 citation
4. AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Shufan Yang, Zifeng Cheng, Zhiwei Jiang, et al.2026

6 more papers of our library cite it; they have no page here yet.

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