Search Results for author: Huijia Zhu

Found 6 papers, 5 papers with code

A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction

no code implementations COLING 2022 Yichun Zhao, Kui Meng, Gongshen Liu, Jintao Du, Huijia Zhu

Aspect Sentiment Triplet Extraction (ASTE) aims at extracting triplets from a given sentence, where each triplet includes an aspect, its sentiment polarity, and a corresponding opinion explaining the polarity.

Aspect Sentiment Triplet Extraction Sentence

Conditional Prototype Rectification Prompt Learning

1 code implementation15 Apr 2024 Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang

Recent advancements in efficient transfer learning (ETL) have shown remarkable success in fine-tuning VLMs within the scenario of limited data, introducing only a few parameters to harness task-specific insights from VLMs.

Few-Shot Learning Transfer Learning

Boosting Audio-visual Zero-shot Learning with Large Language Models

1 code implementation21 Nov 2023 Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang

Recent methods mainly focus on learning multi-modal features aligned with class names to enhance the generalization ability to unseen categories.

audio-visual learning Descriptive +1

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

1 code implementation17 Oct 2023 Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui

However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.

Entity Linking Key Information Extraction +9

ControlCom: Controllable Image Composition using Diffusion Model

1 code implementation19 Aug 2023 Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu

To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.

Image Harmonization

DiffUTE: Universal Text Editing Diffusion Model

1 code implementation NeurIPS 2023 Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

Specifically, we build our model on a diffusion model and carefully modify the network structure to enable the model for drawing multilingual characters with the help of glyph and position information.

Self-Supervised Learning

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