41 citations · 134 across the 27 of their papers we have counts for
6 papers · 1 filter
Cross-modal Consistency Learning with Fine-grained Fusion Network for Multimodal Fake News Detection
Jun Li, Yi Bin, Jie Zou +2
Previous studies on multimodal fake news detection have observed the mismatch between text and images in the fake news and attempted to explore the consistency of multimodal news b…
Non-Autoregressive Sentence Ordering
Yi Bin, Wenhao Shi, Bin Ji +3
Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step…
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination
Haoxuan Li, Yi Bin, Junrong Liao +2
Most existing image-text matching methods adopt triplet loss as the optimization objective, and choosing a proper negative sample for the triplet of <anchor, positive, negative> is…
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
Yi Bin, Haoxuan Li, Yahui Xu +3
Most existing cross-modal retrieval methods employ two-stream encoders with different architectures for images and texts, \textit{e.g.}, CNN for images and RNN/Transformer for text…
Focusing on Relevant Responses for Multi-modal Rumor Detection
Jun Li, Yi Bin, Liang Peng +4
In the absence of an authoritative statement about a rumor, people may expose the truth behind such rumor through their responses on social media. Most rumor detection methods aggr…
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure
Yi Bin, Mengqun Han, Wenhao Shi +4
Existing MWP solvers employ sequence or binary tree to present the solution expression and decode it from given problem description. However, such structures fail to handle the var…