activity
20242026
most cited52B to 1T: Lessons Learned via Tele-FLM Series

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction

Shaqi Luo, Yuanyuan Li, Youhao Hu +7

UMI-style interfaces enable scalable robot learning, but existing systems remain largely visuomotor, relying primarily on RGB observations and trajectory while providing only limit…

eess.IV2026

BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging

Taiping Qu, Hongkai Zhang, Lantian Zhang +18

Cardiac magnetic resonance (CMR) is a cornerstone for diagnosing cardiovascular disease. However, it remains underutilized due to complex, time-consuming interpretation across mult…

cs.AI2025

AI Deception: Risks, Dynamics, and Controls

Boyuan Chen, Sitong Fang, Jiaming Ji +56

As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…

cs.CV2025

OmniGen2: Towards Instruction-Aligned Multimodal Generation

Chenyuan Wu, Pengfei Zheng, Ruiran Yan +19

In this work, we introduce OmniGen2, a versatile and open-source generative model designed to provide a unified solution for diverse generation tasks, including text-to-image, imag…

cs.RO2024

Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection

Enshen Zhou, Qi Su, Cheng Chi +5

Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures rea…

cs.CL2024★ 1 cited

52B to 1T: Lessons Learned via Tele-FLM Series

Xiang Li, Yiqun Yao, Xin Jiang +17

Large Language Models (LLMs) represent a significant stride toward Artificial General Intelligence. As scaling laws underscore the potential of increasing model sizes, the academic…

cs.CL2024

Tele-FLM Technical Report

Xiang Li, Yiqun Yao, Xin Jiang +17

Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications. However, there is a notable p…