Search Results for author: Wanqing Cui

Found 5 papers, 3 papers with code

Image-Text Matching with Multi-View Attention

no code implementations27 Feb 2024 Rui Cheng, Wanqing Cui

Existing two-stream models for image-text matching show good performance while ensuring retrieval speed and have received extensive attention from industry and academia.

Diversity Image-text matching +2

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning

no code implementations21 Feb 2024 Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng

Since commonsense information has been recorded significantly less frequently than its existence, language models pre-trained by text generation have difficulty to learn sufficient commonsense knowledge.

Text Generation Text Retrieval

Visual Transformation Telling

1 code implementation3 May 2023 Wanqing Cui, Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

Humans can naturally reason from superficial state differences (e. g. ground wetness) to transformations descriptions (e. g. raining) according to their life experience.

Dense Video Captioning Visual Reasoning +1

Beyond Language: Learning Commonsense from Images for Reasoning

1 code implementation Findings of the Association for Computational Linguistics 2020 Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

This paper proposes a novel approach to learn commonsense from images, instead of limited raw texts or costly constructed knowledge bases, for the commonsense reasoning problem in NLP.

Language Modelling Question Answering

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