Bei Yu
- Papers
- 19
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Authored papers
19MemDLM: Memory-Enhanced DLM Training
arXiv 2026
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
arXiv 2025
RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing
arXiv 2025
Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?
ICCV 2025
DreamOmni3: Scribble-based Editing and Generation
arXiv 2025
Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts
arXiv 2025
Behavioral Fingerprinting of Large Language Models
arXiv 2025
PreMoe: Lightening MoEs on Constrained Memory by Expert Pruning and Retrieval
arXiv 2025
MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech
arXiv 2025
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
arXiv 2025
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
arXiv 2025
CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference
arXiv 2025
VisionZip: Longer is Better but Not Necessary in Vision Language Models
CVPR 2025 1
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA
arXiv 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
arXiv 2024
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers
arXiv 2024
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
arXiv 2023
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
arXiv 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
arXiv 2023
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