Bozhou Li
Orcid: 0009-0001-7519-5733
According to our database1,
Bozhou Li authored at least 21 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV.
CoRR, May, 2026
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning.
CoRR, May, 2026
Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos.
CoRR, May, 2026
CoRR, April, 2026
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models.
CoRR, February, 2026
Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers.
CoRR, February, 2026
Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks.
CoRR, February, 2026
DiaDem: Advancing Dialogue Descriptions in Audiovisual Video Captioning for Multimodal Large Language Models.
CoRR, January, 2026
2025
GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models.
CoRR, December, 2025
The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss.
CoRR, December, 2025
CoRR, October, 2025
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark.
CoRR, September, 2025
Text2VectorSQL: Bridging Text-to-SQL and Vector Search for Unified Natural Language Queries.
CoRR, June, 2025
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models.
CoRR, May, 2025
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation.
Proc. ACM Softw. Eng., 2025
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
2024
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models.
CoRR, 2024
CoRR, 2024
2021
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021