activity
20172022
most citedA Deep Relevance Matching Model for Ad-hoc Retrieval

855 citations · 1.1k across the 19 of their papers we have counts for

collaborators

23 papers

cs.CV2022

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…

cs.IR202212 cited

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…

cs.IR20223 cited

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…

cs.IR202233 cited

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…

cs.CL202263 cited

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…

cs.IR202130 cited

FedMatch: Federated Learning Over Heterogeneous Question Answering Data

Jiangui Chen, Ruqing Zhang, Jiafeng Guo +2

Question Answering (QA), a popular and promising technique for intelligent information access, faces a dilemma about data as most other AI techniques. On one hand, modern QA method…