Yifan Yang

AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards

Xin Gao, Yifan Yang, Xin Li, et al.

Beyond Token Scale: Chunk-Level Sparse Autoencoders for Reliable Semantic Feature Discovery

Xu Wang, Yifan Yang, TingHao YU, et al.

CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search

Yifan Yang, Zhaoyan Wang, Zheng Gao, et al.

RACE: Scalable Statistical Estimation of Functional Consistency in LLM Neurons

Runyu Wang, Bo Liu, Xiaxin Zhang, et al.

SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions

Yasheng Sun, Zezi Zeng, Yifan Yang, et al.

Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

Yifan Zhou, Qihao Yang, Yan Li, et al.

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision

Aoyang Fang, Yifan Yang, Jin'ao Shang, et al.

MMAE: A Massive Multitask Audio Editing Benchmark

Ziyang Ma, Ruiqi Yan, Ruiyang Xu, et al.

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction

Kaixin Zhu, Yiwen Tang, Yifan Yang, et al.

SOAR: Real-Time Joint Optimization of Order Allocation and Robot Scheduling in Robotic Mobile Fulfillment Systems

Yibang Tang, Yifan Yang, Jingyuan Wang, et al.

Toward Multimodal Conversational AI for Age-Related Macular Degeneration

Ran Gu, Benjamin Hou, Mélanie Hébert, et al.

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

Yan Li, Zezi Zeng, Yifan Yang, et al.

AVGen-Bench: A Task-Driven Benchmark for Multi-Granular Evaluation of Text-to-Audio-Video Generation

Ziwei Zhou, Zeyuan Lai, Rui Wang, et al.

Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding

Yikai Zheng, Xin Ding, Yifan Yang, et al.

Em-Garde is a new system for understanding video streams in real-time that can proactively answer user questions about what's happening in videos. Instead of checking every frame to decide when to respond (which is slow and inaccurate), it converts user questions into visual search patterns and efficiently matches them against the incoming video stream, achieving better accuracy with less computational effort.