Search Results for author: Zhiyuan Wen

Found 16 papers, 5 papers with code

Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning

no code implementations14 May 2025 Dayong Liang, Changmeng Zheng, Zhiyuan Wen, Yi Cai, Xiao-Yong Wei, Qing Li

Traditional scene graphs primarily focus on spatial relationships, limiting vision-language models' (VLMs) ability to reason about complex interactions in visual scenes.

Relation Extraction Scene Understanding

InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System

1 code implementation31 Mar 2025 Zhiyuan Wen, Jiannong Cao, Zian Wang, Beichen Guo, Ruosong Yang, Shuaiqi Liu

The exponential growth of academic literature creates urgent demands for comprehensive survey papers, yet manual writing remains time-consuming and labor-intensive.

Paper generation RAG +3

Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text

no code implementations CVPR 2025 Guotao Liang, Baoquan Zhang, Zhiyuan Wen, Junteng Zhao, Yunming Ye, Kola Ye, Yao He

To tackle two challenges, we propose to split the long text into multiple granularities for encoding, i. e., word, phrase, and sentence, so that the long text can be fully encoded without losing any key semantic knowledge.

Image Generation Quantization

Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models

no code implementations25 Jun 2024 Zhiyuan Wen, Yu Yang, Jiannong Cao, Haoming Sun, Ruosong Yang, Shuaiqi Liu

By presenting a clear taxonomy, in-depth analysis, promising future directions, and extensive resource collections, we aim to provide a better understanding and facilitate further advancements in this emerging field.

Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation

1 code implementation3 Apr 2024 Zhiyuan Wen, Jiannong Cao, Yu Yang, Ruosong Yang, Shuaiqi Liu

To utilize affectivity within dialog content for accurate personality recognition, we fine-tuned a pre-trained language model specifically for emotion recognition in conversations, facilitating real-time affective annotations for utterances.

Emotion Recognition Language Modelling +2

Personality-affected Emotion Generation in Dialog Systems

no code implementations3 Apr 2024 Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Ruosong Yang, Shuaiqi Liu, Maosong Sun

Therefore, we propose a new task, Personality-affected Emotion Generation, to generate emotion based on the personality given to the dialog system and further investigate a solution through the personality-affected mood transition.

Low-Resource Court Judgment Summarization for Common Law Systems

1 code implementation7 Mar 2024 Shuaiqi Liu, Jiannong Cao, Yicong Li, Ruosong Yang, Zhiyuan Wen

Current summarization datasets are insufficient to satisfy the demands of summarizing precedents across multiple jurisdictions, especially when labeled data are scarce for many jurisdictions.

Data Augmentation

Long Text and Multi-Table Summarization: Dataset and Method

1 code implementation8 Feb 2023 Shuaiqi Liu, Jiannong Cao, Ruosong Yang, Zhiyuan Wen

Within a report document, the salient information can be scattered in the textual and non-textual content.

Document Summarization Informativeness +1

Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing

no code implementations23 Aug 2020 Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu

Experiments on popular apps from Google Play and Apple's App Store demonstrate the effectiveness of MERIT in identifying emerging app issues, improving the state-of-the-art method by 22. 3% in terms of F1-score.

Clustering

EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors

no code implementations6 Jun 2020 Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou

We propose a novel algorithm (EPARS) that could early predict STAR in a semester by modeling online and offline learning behaviors.

Management Network Embedding

Decode with Template: Content Preserving Sentiment Transfer

no code implementations LREC 2020 Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Senzhang Wang

The two major challenges in existing works lie in (1) effectively disentangling the original sentiment from input sentences; and (2) preserving the semantic content while transferring the sentiment.

GGP: Glossary Guided Post-processing for Word Embedding Learning

no code implementations LREC 2020 Ruosong Yang, Jiannong Cao, Zhiyuan Wen

To enhance corpus based word embedding models, researchers utilize domain knowledge to learn more distinguishable representations via joint optimization and post-processing based models.

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