I3: Intent-Introspective Retrieval Conditioned on Instructions

I3: Intent-Introspective Retrieval Conditioned on Instructions

19 August 2023

Hao Fei

Wei Ji

Xiaozhong Liu

Papers citing "I3: Intent-Introspective Retrieval Conditioned on Instructions"

7 / 7 papers shown

Title
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs Xin Zhou Ping Nie Yiwen Guo Haojie Wei Zhanqiu Zhang Pasquale Minervini Ruotian Ma Tao Gui Qi Zhang Xuanjing Huang MoE 35 0 0 20 Oct 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning Qi Zhang Yiming Zhang Haobo Wang Junbo Zhao 47 10 0 27 Feb 2024
BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives Xiaoyue Wang Jianyou Wang Weili Cao Kaicheng Wang R. Paturi Leon Bergen 31 6 0 21 Feb 2024
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization Kaihang Pan Juncheng Billy Li Hongye Song Jun Lin Xiaozhong Liu Siliang Tang OffRL 17 10 0 22 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 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 201 412 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 229 720 0 17 Apr 2021