Who cites «Repetition Improves Language Model Embeddings»
- LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersarXiv:2404.05961Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 213 citations
- Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
- Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?arXiv:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations
- DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
- Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
- Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, et al.2025 · 10 citations
- 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
- Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
- 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
- Representation-Aware Prompting for Zero-Shot Marathi Text Classification: IPA, Romanization, RepetitionWorkshop on Language Models for Low-Resource LanguagesVan-Hien Tran, Huy Hien Vu, Hideki Tanaka, et al.2026 · 1 citation
- Uncertainty-Aware Contrastive Sentence Embedding With Local Context Representation for Text ClassificationFindings of the Association for Computational LinguisticsHan Liu, Jiaqing Zhan, Zhichao Chen, et al.2026 · 1 citation
- 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
- Chameleons and Guardians: Unveiling the Divergence in Personality Plasticity and Cognitive Resistance across LLMsFindings of the Association for Computational LinguisticsJiaxin Wu, Jie Zhao, Huangxinrong, et al.2026
- Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RLFindings of the Association for Computational LinguisticsZhaofeng Wu, Shiqi Wang, Boya Peng, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/springer-2024-repetition-improves-language-model-embeddings/cited-by/