1 citations · 1 across the 5 of their papers we have counts for
5 papers
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +398
We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…
MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization
Gengyuan Liu, Nanzhou Wang, Chang Liu +5
Vision-language models exhibit remarkable zero-shot capabilities but suffer significant performance degradation under distribution shifts. While test-time adaptation (TTA) via Low-…
PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment
Chuancheng Zhang, Zhenhao Wang, Kaizheng Li +3
Real-world autonomous driving, particularly in urban environments with numerous corner cases, requires rigorous testing to ensure product safety and robustness. However, few studie…
Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
Wei Dai, Shengen Wu, Wei Wu +7
Trajectory prediction serves as a critical functionality in autonomous driving, enabling the anticipation of future motion paths for traffic participants such as vehicles and pedes…
Generative Modeling for Adversarial Lane-Change Scenarios
Chuancheng Zhang, Zhenhao Wang, Jiangcheng Wang +5
Decision-making in long-tail scenarios is pivotal to autonomous-driving development, and realistic and challenging simulations play a crucial role in testing safety-critical situat…