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From the 1 of 16 linked papers with an AI index.

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16 papers

cs.CV2026

WorkDrive: Roadwork Chain of Causation for Autonomous Driving

Tianyi Jiang, Wen Zhang, Sihan Yang +2

The paper introduces WorkDrive, a framework that adds perception‑grounded causal reasoning to vision‑language models for autonomous driving in roadwork zones, improving trajectory…

cs.CV2026

Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs

Ruichuan An, Kai Zeng, Ming Lu +5

Vision-Language Models (VLMs) have demonstrated exceptional performance in various multi-modal tasks. Recently, there has been an increasing interest in improving the personalizati…

cs.CV2026

Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning

Zijun Shen, Sihan Yang, Ruichuan An +5

Unified Multimodal Models (UMMs) excel in general tasks but struggle to bridge the gap between personalized understanding and generation. Prior works largely rely on implicit token…

cs.CV2026

PEARL: Personalized Streaming Video Understanding Model

Yuanhong Zheng, Ruichuan An, Xiaopeng Lin +10

Human cognition of new concepts is inherently a streaming process: we continuously recognize new objects or identities and update our memories over time. However, current multimoda…

cs.CV2026

MC-LLaVA: Multi-Concept Personalized Vision-Language Model

Ruichuan An, Sihan Yang, Renrui Zhang +10

Current vision-language models (VLMs) show exceptional abilities across diverse tasks, such as visual question answering. To enhance user experience, recent studies have investigat…

cs.LG2026

GENIUS: Generative Fluid Intelligence Evaluation Suite

Ruichuan An, Sihan Yang, Ziyu Guo +8

Unified Multimodal Models (UMMs) have shown remarkable progress in visual generation. Yet, existing benchmarks predominantly assess , which reli…