Contrastive Fine-tuning Improves Robustness for Neural Rankers

27 May 2021

Papers citing "Contrastive Fine-tuning Improves Robustness for Neural Rankers"

11 / 11 papers shown

Title
QBR: A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public Mingruo Yuan Ben Kao Tien-Hsuan Wu AILaw 76 0 0 08 May 2025
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective Yu-An Liu Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 37 6 0 09 Jul 2024
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning Thong Nguyen Yi Bin Xiaobao Wu Xinshuai Dong Zhiyuan Hu Khoi M. Le Cong-Duy Nguyen See-Kiong Ng Luu Anh Tuan 39 6 0 04 Jul 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 38 19 0 30 Mar 2024
Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation Cong-Duy Nguyen Thong Nguyen Duc Anh Vu Anh Tuan Luu 16 13 0 04 Dec 2023
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection Xuanang Chen Xianpei Han Le Sun Yingfei Sun AAML 30 5 0 31 Jul 2023
A Study on FGSM Adversarial Training for Neural Retrieval Simon Lupart S. Clinchant AAML 32 7 0 25 Jan 2023
Successive Prompting for Decomposing Complex Questions Dheeru Dua Shivanshu Gupta Sameer Singh Matt Gardner ReLM LRM 34 113 0 08 Dec 2022
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling Lahari Poddar Peiyao Wang J. Reinspach 16 5 0 15 Apr 2022
Continual Learning of Long Topic Sequences in Neural Information Retrieval Thomas Gerald Laure Soulier CLL 28 4 0 10 Jan 2022
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 178 686 0 10 Oct 2020