How Well Do Text Embedding Models Understand Syntax?

How Well Do Text Embedding Models Understand Syntax?

14 November 2023

Zuozhu Liu

Haizhou Li

Papers citing "How Well Do Text Embedding Models Understand Syntax?"

7 / 7 papers shown

Title
Sparse Auto-Encoder Interprets Linguistic Features in Large Language Models Yi Jing Zijun Yao Lingxu Ran Hongzhu Guo Xiaozhi Wang Lei Hou Juanzi Li 52 0 0 27 Feb 2025
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings Raghuveer Thirukovalluru Bhuwan Dhingra 29 2 0 18 Oct 2024
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark Hongliu Cao AI4TS 27 11 0 27 May 2024
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework Yiming Chen Yan Zhang Bin Wang Zuozhu Liu Haizhou Li 29 25 0 30 Oct 2022
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 204 420 0 24 Jan 2022
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 961 0 17 Apr 2021
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 879 0 03 May 2018