1 citations · 1 across the 6 of their papers we have counts for
7 papers
HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices
HyperAI Team, Yuchen Liu, Kaiyang Han +26
Current multimodal large lanauge models possess strong perceptual and reasoning capabilities, however high computational and memory requirements make them difficult to deploy direc…
Agent-Kernel: A MicroKernel Multi-Agent System Framework for Adaptive Social Simulation Powered by LLMs
Yuren Mao, Peigen Liu, Xinjian Wang +11
Multi-Agent System (MAS) developing frameworks serve as the foundational infrastructure for social simulations powered by Large Language Models (LLMs). However, existing frameworks…
Explainable AI-Generated Image Detection RewardBench
Michael Yang, Shijian Deng, William T. Doan +4
Conventional, classification-based AI-generated image detection methods cannot explain why an image is considered real or AI-generated in a way a human expert would, which reduces…
Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
Alexandre Andre, Gauthier Roy, Eva Dyer +1
Large Language Models (LLMs) are increasingly used for recommendation tasks due to their general-purpose capabilities. While LLMs perform well in rich-context settings, their behav…
When Thinking LLMs Lie: Unveiling the Strategic Deception in Representations of Reasoning Models
Kai Wang, Yihao Zhang, Meng Sun
The honesty of large language models (LLMs) is a critical alignment challenge, especially as advanced systems with chain-of-thought (CoT) reasoning may strategically deceive humans…
Delayed-KD: Delayed Knowledge Distillation based CTC for Low-Latency Streaming ASR
Longhao Li, Yangze Li, Hongfei Xue +4
CTC-based streaming ASR has gained significant attention in real-world applications but faces two main challenges: accuracy degradation in small chunks and token emission latency.…