activity
20242026
most citedCosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Prompt PerturbAItions: Mechanisms of LLM Response Inconsistencies

Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6

Large language models (LLMs) are increasingly deployed in conversational settings where user phrasing ranges from polite to casual to toxic, yet less is known about whether such le…

cs.CV2025

DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models

Jingyu Song, Zhenxin Li, Shiyi Lan +6

Benchmarking autonomous driving planners to align with human judgment remains a critical challenge, as state-of-the-art metrics like the Extended Predictive Driver Model Score (EPD…

cs.RO2025

Generalized Trajectory Scoring for End-to-end Multimodal Planning

Zhenxin Li, Wenhao Yao, Zi Wang +7

End-to-end multi-modal planning is a promising paradigm in autonomous driving, enabling decision-making with diverse trajectory candidates. A key component is a robust trajectory s…

cs.CV2025★ 2 cited

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

NVIDIA, :, Hassan Abu Alhaija +38

We introduce Cosmos-Transfer, a conditional world generation model that can generate world simulations based on multiple spatial control inputs of various modalities such as segmen…

cs.CV2024

Exploring Camera Encoder Designs for Autonomous Driving Perception

Barath Lakshmanan, Joshua Chen, Shiyi Lan +3

The cornerstone of autonomous vehicles (AV) is a solid perception system, where camera encoders play a crucial role. Existing works usually leverage pre-trained Convolutional Neura…