BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings

9 November 2023

Papers citing "BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings"

8 / 8 papers shown

Title
Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs Yuchen Fu Zifeng Cheng Zhiwei Jiang Zhonghui Wang Yafeng Yin Zhengliang Li Qing Gu LLMAG 72 0 0 16 Dec 2024
Large Language Models Are Overparameterized Text Encoders Thennal D K Tim Fischer Chris Biemann 38 2 0 18 Oct 2024
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings Raghuveer Thirukovalluru Bhuwan Dhingra 29 2 0 18 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 28 0 0 10 Oct 2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Parishad BehnamGhader Vaibhav Adlakha Marius Mosbach Dzmitry Bahdanau Nicolas Chapados Siva Reddy 40 173 0 09 Apr 2024
Generative Deduplication For Socia Media Data Selection Xianming Li Jing Li 29 2 0 11 Jan 2024
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings Zhuofeng Wu Chaowei Xiao V. Vydiswaran 13 2 0 15 Oct 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020