Yue Ding
Orcid: 0009-0002-8295-6526Affiliations:
- State Key Laboratory of Pattern Recognition, Beijing, China
According to our database1,
Yue Ding authored at least 16 papers
between 2025 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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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
CoRR, October, 2025
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark.
CoRR, September, 2025
CoRR, September, 2025
D<sup>2</sup>HScore: Reasoning-Aware Hallucination Detection via Semantic Breadth and Depth Analysis in LLMs.
CoRR, September, 2025
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models.
CoRR, May, 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models.
CoRR, January, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025