63 citations · 182 across the 16 of their papers we have counts for
18 papers
Visual Named Entity Linking: A New Dataset and A Baseline
Wenxiang Sun, Yixing Fan, Jiafeng Guo +2
Visual Entity Linking (VEL) is a task to link regions of images with their corresponding entities in Knowledge Bases (KBs), which is beneficial for many computer vision tasks such…
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu, Fei Sun, Jiafeng Guo +2
Machine unlearning aims to erase the impact of specific training samples upon deleted requests from a trained model. Re-training the model on the retained data after deletion is an…
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
Chen Wu, Ruqing Zhang, Jiafeng Guo +4
Neural ranking models (NRMs) have achieved promising results in information retrieval. NRMs have also been shown to be vulnerable to adversarial examples. A typical Word Substituti…
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models
Yinqiong Cai, Jiafeng Guo, Yixing Fan +3
Neural ranking models (NRMs) have become one of the most important techniques in information retrieval (IR). Due to the limitation of relevance labels, the training of NRMs heavily…
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration
Shaojie Jiang, Ruqing Zhang, Svitlana Vakulenko +1
The cross-entropy objective has proved to be an all-purpose training objective for autoregressive language models (LMs). However, without considering the penalization of problemati…
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Xinyu Ma, Jiafeng Guo, Ruqing Zhang +2
Dense retrieval has shown promising results in many information retrieval (IR) related tasks, whose foundation is high-quality text representation learning for effective search. So…