Fengyuan Liu's picture

Fengyuan Liu

Ferrie

·

AI & ML interests

Generative Modeling

Recent Activity

authored a paper about 1 month ago

Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

repliedto Juanxi's post about 1 month ago

📢 Awesome Multimodal Modeling We introduce Awesome Multimodal Modeling, a curated repository tracing the architectural evolution of multimodal intelligence—from foundational fusion to native omni-models. 🔹 Taxonomy & Evolution: Traditional Multimodal Learning – Foundational work on representation, fusion, and alignment. Multimodal LLMs (MLLMs) – Architectures connecting vision encoders to LLMs for understanding. Unified Multimodal Models (UMMs) – Models unifying Understanding + Generation via Diffusion, Autoregressive, or Hybrid paradigms. Native Multimodal Models (NMMs) – Models trained from scratch on all modalities; contrasts early vs. late fusion under scaling laws. 💡 Key Distinction: UMMs unify tasks via generation heads; NMMs enforce interleaving through joint pre-training. 🔗 Explore & Contribute: https://github.com/OpenEnvision/Awesome-Multimodal-Modeling

reacted to Juanxi's post with 😎 about 1 month ago

📢 Awesome Multimodal Modeling We introduce Awesome Multimodal Modeling, a curated repository tracing the architectural evolution of multimodal intelligence—from foundational fusion to native omni-models. 🔹 Taxonomy & Evolution: Traditional Multimodal Learning – Foundational work on representation, fusion, and alignment. Multimodal LLMs (MLLMs) – Architectures connecting vision encoders to LLMs for understanding. Unified Multimodal Models (UMMs) – Models unifying Understanding + Generation via Diffusion, Autoregressive, or Hybrid paradigms. Native Multimodal Models (NMMs) – Models trained from scratch on all modalities; contrasts early vs. late fusion under scaling laws. 💡 Key Distinction: UMMs unify tasks via generation heads; NMMs enforce interleaving through joint pre-training. 🔗 Explore & Contribute: https://github.com/OpenEnvision/Awesome-Multimodal-Modeling

View all activity

Organizations

Papers 1

arxiv:2605.08354

models 0

None public yet

datasets 3

Ferrie/dyna_rm_outputs

Updated Apr 29 • 6

Ferrie/vision_auto_rubric

Preview • Updated Feb 25 • 114

Ferrie/HPDv3_for_Auto_Rubric

Preview • Updated Feb 6 • 55