← authors · overview

• AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
  2020 · 16 citations
• KAT-V1: Kwai-AutoThink Technical Report
  2025 · 8 citations
• MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
  2025
• SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder
  2025
• GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models
  2025
• HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs
  2025
• HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs
  2025
• Vidbridge-r1: Bridging QA And Captioning For Rl-based Video Understanding Models With Intermediate Proxy Tasks
  2025
• If-vidcap: Can Video Caption Models Follow Instructions?
  2025
• Mvu-eval: Towards Multi-video Understanding Evaluation For Multimodal Llms
  2025
• Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
  2025
• HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
  2025