855 citations · 1.6k across the 64 of their papers we have counts for
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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…
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…
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
Xinyu Ma, Jiafeng Guo, Ruqing Zhang +2
Pre-training and fine-tuning have achieved significant advances in the information retrieval (IR). A typical approach is to fine-tune all the parameters of large-scale pre-trained…
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval
Xinyu Ma, Ruqing Zhang, Jiafeng Guo +2
Dense retrieval (DR) has shown promising results in information retrieval. In essence, DR requires high-quality text representations to support effective search in the representati…
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
Jiangui Chen, Ruqing Zhang, Jiafeng Guo +3
Knowledge-intensive language tasks (KILT) usually require a large body of information to provide correct answers. A popular paradigm to solve this problem is to combine a search sy…
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…
GERE: Generative Evidence Retrieval for Fact Verification
Jiangui Chen, Ruqing Zhang, Jiafeng Guo +2
Fact verification (FV) is a challenging task which aims to verify a claim using multiple evidential sentences from trustworthy corpora, e.g., Wikipedia. Most existing approaches fo…
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models
Chen Wu, Ruqing Zhang, Jiafeng Guo +3
Neural ranking models (NRMs) have shown remarkable success in recent years, especially with pre-trained language models. However, deep neural models are notorious for their vulnera…