Papers by Zhiding Xiao

2 papers
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning (2023.findings-emnlp)

Copied to clipboard

Challenge: Existing methods for image-to-text generation store all knowledge within parameters, thus requiring computational-expensive fine-tuning.
Approach: They propose a Retrieval-augmented Visual Language Model that stores all the knowledge within parameters and can be used to retrieve it from the external database.
Outcome: The proposed model significantly boosts performance for image-to-text generation tasks with 4x less parameters compared with baseline methods.
StoryLLaVA: Enhancing Visual Storytelling with Multi-Modal Large Language Models (2025.coling-main)

Copied to clipboard

Challenge: Existing models struggle to maintain temporal, spatial, and narrative coherence across image sequences . existing models lack depth and engagement of human-authored stories .
Approach: They propose a topic-driven narrative optimizer that integrates image descriptions, topic generation, and GPT-4-based refinements.
Outcome: The proposed framework outperforms existing models in visual relevance, coherence, and fluency.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations