collaborators

7 papers

cs.CV2026

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models

Lianghua Huang, Zhi-Fan Wu, Wei Wang +22

We present Wan-Streamer, a native-streaming, end-to-end interactive foundation model designed from the ground up for real-time, low-latency, full-duplex audio-visual interaction. W…

cs.CV2026

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety

Shikai Qiu, Xiaowen Xu, Benlei Cui +55

General-purpose models often struggle to reliably identify and understand real-world multimodal risks, largely due to the inherent multimodal adversarial nature of content and AI s…

cs.AI2026

Agent-as-a-Router: Agentic Model Routing for Coding Tasks

Pengfei Zhou, Zhiwei Tang, Yixing Ma +8

Real-world users typically have access to multiple Large Language Models (LLMs) from different providers, and these LLMs often excel at distinct domains, yet none dominate all. Con…

cs.LG2026

Discovering Millions of Interpretable Features with Sparse Autoencoders

XinYang He, Wei Wang, Bing Zhao +5

Sparse autoencoders (SAEs) have emerged as a powerful tool for decomposing superposed language model representations into sparse and interpretable features. However, training SAEs…

cs.CV2026

WorldOlympiad: Can Your World Model Survive a Triathlon?

Yuke Zhao, Wangbo Zhao, Weijie Wang +8

We introduce WorldOlympiad, a benchmark for diagnosing video-based world models across physical faithfulness, geometric consistency, and interaction fidelity. While existing benchm…

cs.CL2026

From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition

Yiqing Zhou, Yu Lei, Shuzheng Si +7

Managing extensive context remains a critical bottleneck for Large Language Models (LLMs), particularly in applications like long-document question answering and autonomous agents…