Search Results for author: Bingbing Wang

Found 4 papers, 1 papers with code

Exploring Context Window of Large Language Models via Decomposed Positional Vectors

no code implementations28 May 2024 Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingbing Wang, Zhen Tian, WeiPeng Chen, Ji-Rong Wen

Based on our findings, we design two training-free context window extension methods, positional vector replacement and attention window extension.

MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentation

no code implementations7 May 2024 Yanli Yuan, Bingbing Wang, Chuan Zhang, Jingyi Xu, Ximeng Liu, Liehuang Zhu

Though recent methods based on Fully Convolutional Neural Networks (F-CNNs) have shown success in many segmentation tasks, fusing features from images with different scales is still a challenge: (1) Due to the lack of spatial awareness, F-CNNs share the same weights at different spatial locations.

Segmentation Tumor Segmentation

SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection

1 code implementation31 Dec 2023 Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu

The two core challenges for multi-modal intent detection are (1) how to effectively align and fuse different features of modalities and (2) the limited labeled multi-modal intent training data.

Data Augmentation Intent Detection +2

Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever

no code implementations7 Aug 2023 Shijue Huang, Bingbing Wang, Libo Qin, Qin Zhao, Ruifeng Xu

Few-shot and zero-shot entity linking focus on the tail and emerging entities, which are more challenging but closer to real-world scenarios.

Entity Linking Retrieval

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