One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models

30 May 2024

Papers citing "One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models"

7 / 7 papers shown

Title
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models Yuying Shang Xinyi Zeng Yutao Zhu Xiao Yang Zhengwei Fang Jingyuan Zhang Jiawei Chen Zinan Liu Yu Tian VLM MLLM 41 1 0 09 Oct 2024
OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography Youzhu Jin Yichen Zhang LM&MA 36 1 0 30 Aug 2024
1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality Data Calvin Tan Jerome Wang ALM 33 2 0 07 Aug 2024
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research Jiajie Jin Yutao Zhu Xinyu Yang Chenghao Zhang Zhicheng Dou Chenghao Zhang Tong Zhao Zhao Yang Zhicheng Dou Ji-Rong Wen VLM 73 45 0 22 May 2024
Large Language Models for Information Retrieval: A Survey Yutao Zhu Huaying Yuan Shuting Wang Jiongnan Liu Wenhan Liu Chenlong Deng Haonan Chen Zhicheng Dou Ji-Rong Wen KELM 44 281 0 14 Aug 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021