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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.LG2026

Flux-OPD: On-Policy Distillation with Evolving Contexts

Yuran Wang, Zekun Wang, Bohan Zeng +10

The paper introduces Flux-OPD, a method for training large language models by distilling knowledge from teachers while using evolving contexts as supervision, and stabilizes the pr…

cs.CV2026

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation

Zijie Meng, Jiwen Liu, Yufei Liu +5

Subject-preserving video generation is not solved by frontal-face similarity alone: a generated person must remain recognizable across motion, large viewpoint changes, expression s…

cs.CV2026

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling

Yuran Wang, Bohan Zeng, Chengzhuo Tong +6

Subject-driven image generation has advanced from single- to multi-subject composition, while neglecting distinction, the ability to distinguish and generate the correct subject wh…

cs.CV2026

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

DataFlow Team, Bohan Zeng, Daili Hua +39

World models have garnered significant attention as a promising research direction in artificial intelligence, yet a clear and unified definition remains lacking. In this paper, we…

cs.CL2026

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning

Yifan Dai, Zhenhua Wu, Bohan Zeng +18

Joint audio-visual reasoning is essential for omnimodal understanding, yet current multimodal large language models (MLLMs) still struggle when reasoning requires fine-grained evid…

cs.CV2026

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos

Yuqi Tang, Yang Shi, Zhuoran Zhang +21

Recent video generative models have greatly improved the realism of AI-generated videos, yet their outputs still exhibit artifacts such as temporal inconsistencies, structural dist…