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20212026
most citedToken Prediction as Implicit Classification to Identify LLM-Generated Text

20 citations · 61 across the 32 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

Co-Me: Confidence-Guided Token Merging for Visual Geometric Transformers

Yutian Chen, Yuheng Qiu, Ruogu Li +4

We propose Confidence-Guided Token Merging (Co-Me), an acceleration mechanism for visual geometric transformers without retraining or finetuning the base model. Co-Me distilled a l…

cs.CL2025★ 1 cited

Kimi Linear: An Expressive, Efficient Attention Architecture

Kimi Team, Yu Zhang, Zongyu Lin +57

We introduce Kimi Linear, a hybrid linear attention architecture that, for the first time, outperforms full attention under fair comparisons across various scenarios -- including s…

cs.CV2025

Virtual Community: An Open World for Humans, Robots, and Society

Qinhong Zhou, Hongxin Zhang, Xiangye Lin +16

The rapid progress in AI and Robotics may lead to a profound societal transformation, as humans and robots begin to coexist within shared communities, introducing both opportunitie…

cs.LG2025★ 14 cited

Kimi K2: Open Agentic Intelligence

Kimi Team, Yifan Bai, Yiping Bao +195

We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion activated parameters and 1 trillion total parameters. We propose the MuonClip optimizer, which…

cs.CV2025

4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture

Yutian Chen, Shi Guo, Tianshuo Yang +4

Reconstructing fast-dynamic scenes from multi-view videos is crucial for high-speed motion analysis and realistic 4D reconstruction. However, the majority of 4D capture systems are…

cs.CV2025

UFM: A Simple Path towards Unified Dense Correspondence with Flow

Yuchen Zhang, Nikhil Keetha, Chenwei Lyu +9

Dense image correspondence is central to many applications, such as visual odometry, 3D reconstruction, object association, and re-identification. Historically, dense correspondenc…

cs.RO2025

AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability

Yuheng Qiu, Can Xu, Yutian Chen +3

Inertial odometry (IO) using only Inertial Measurement Units (IMUs) offers a lightweight and cost-effective solution for Unmanned Aerial Vehicle (UAV) applications, yet existing le…