4 papers
The Company You Keep: How LLMs Respond to Dark Triad Traits
Zeyi Lu, Angelica Henestrosa, Pavel Chizhov +1
Large Language Models (LLMs) often exhibit highly agreeable and reinforcing conversational styles, also known as AI-sycophancy. Although this pattern arises from training objective…
Kwai Keye-VL 1.5 Technical Report
Biao Yang, Bin Wen, Boyang Ding +58
In recent years, the development of Large Language Models (LLMs) has significantly advanced, extending their capabilities to multimodal tasks through Multimodal Large Language Mode…
EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow
Zeyi Lu, Xiaoxiao Ma, Yujun Huang +4
The explosive growth of multi-source multimedia data has significantly increased the demands for transmission and storage, placing substantial pressure on bandwidth and storage inf…
Kwai Keye-VL Technical Report
Kwai Keye Team, Biao Yang, Bin Wen +57
While Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities on static images, they often fall short in comprehending dynamic, information-dense short-form vi…