---
title: "Who cites Token Prepending: A — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/fu-2025-token-prepending-training-free-approach/)

1. **[Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering](https://md.research.elamur.ai/free/en/papers/cheng-2025-contrastive-prompting-enhances-sentence-embeddings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Telegram](https://md.research.elamur.ai/free/en/papers/bazdyrev-2025-transforming-causal-llm-into-mlm/) [Ukrainian Natural Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/unlp/)**Anton 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 LLMs](https://md.research.elamur.ai/free/en/papers/tang-2026-kv-embedding-training-free-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixuan Tang, Yi Yang*2026 · 1 citation*
4. **[AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM](https://md.research.elamur.ai/free/en/papers/yang-2026-aea-adaptive-expert-allocation-improves/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shufan Yang, Zifeng Cheng, Zhiwei Jiang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/fu-2025-token-prepending-training-free-approach/) — Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs