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20152025
most citedDynamic Context-guided Capsule Network for Multimodal Machine Translation

57 citations · 871 across the 99 of their papers we have counts for

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14 papers · 1 filter

cs.CL2024

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection

Jinfa Huang, Jinsheng Pan, Zhongwei Wan +2

Recent advances show that two-stream approaches have achieved outstanding performance in hateful meme detection. However, hateful memes constantly evolve as new memes emerge by fus…

cs.CL20232 cited

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets

Jinsheng Pan, Zichen Wang, Weihong Qi +2

Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters. While prior…

cs.CL2022

Learning a Grammar Inducer from Massive Uncurated Instructional Videos

Songyang Zhang, Linfeng Song, Lifeng Jin +4

Video-aided grammar induction aims to leverage video information for finding more accurate syntactic grammars for accompanying text. While previous work focuses on building systems…

cs.CL2021

Noise Stability Regularization for Improving BERT Fine-tuning

Hang Hua, Xingjian Li, Dejing Dou +2

Fine-tuning pre-trained language models such as BERT has become a common practice dominating leaderboards across various NLP tasks. Despite its recent success and wide adoption, th…

cs.CL2021

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

Jinsong Su, Jialong Tang, Hui Jiang +6

In aspect-based sentiment analysis (ABSA), many neural models are equipped with an attention mechanism to quantify the contribution of each context word to sentiment prediction. Ho…

cs.CL202057 cited

Dynamic Context-guided Capsule Network for Multimodal Machine Translation

Huan Lin, Fandong Meng, Jinsong Su +5

Multimodal machine translation (MMT), which mainly focuses on enhancing text-only translation with visual features, has attracted considerable attention from both computer vision a…