Papers by Billy Chiu

3 papers
Enhancing Large Language Models for Scientific Multimodal Summarization with Multimodal Output (2025.coling-industry)

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Challenge: Scientific publications are becoming more multimedia, containing both text and visual content.
Approach: They propose a framework for Scientific Multimodal Summarization with Multimodal Output . it leverages the power of large language models and extends its capability to cross-modal understanding .
Outcome: The proposed framework outperforms uni- and multi-modality methods on two new datasets . it leverages the power of large language models and extends its capability to cross-modal understanding .
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback (2025.findings-emnlp)

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Challenge: Existing Sequential Recommendation Systems (SRS) rely on collaborative filtering signals and fail to capture real-time user preferences.
Approach: They propose a framework that integrates the long-term preference modeling of SRS with the real-time preference elicitation of CRS.
Outcome: The proposed framework integrates the long-term preference modeling of SRS with the real-time preference elicitation of CRS.
Autoencoding Keyword Correlation Graph for Document Clustering (2020.acl-main)

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Challenge: Existing representation learning models do not capture the intra-sentential and inter-sententential features of long-text.
Approach: They propose a graph-based representation for document clustering that builds a Graph Autoencoder on a Keyword Correlation Graph.
Outcome: The proposed graph autoencoder can achieve better clustering performance than existing features.

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