Linzhuang Sun
Orcid: 0000-0003-0363-3607
According to our database1,
Linzhuang Sun
authored at least 22 papers
between 2023 and 2025.
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Bibliography
2025
2024
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework.
Neural Comput. Appl., November, 2024
From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing.
CoRR, 2024
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search.
CoRR, 2024
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark.
CoRR, 2024
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models.
CoRR, 2024
CoRR, 2024
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning.
CoRR, 2024
A survey on advancements in image-text multimodal models: From general techniques to biomedical implementations.
Comput. Biol. Medicine, 2024
Faster and More Efficient Subject Image Generation for Text-to-Image Diffusion Models.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
SAM-Wav2lip++: Enhancing Behavioral Realism in Synthetic Agents Through Audio-Driven Speech and Action Refinement.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory.
CoRR, 2023
Human-computer Interaction for Brain-inspired Computing Based on Machine Learning And Deep Learning: A Review.
CoRR, 2023
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training.
CoRR, 2023
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework.
CoRR, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023