13 citations · 14 across the 11 of their papers we have counts for
5 papers · 1 filter
ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification
Jianzong Wang, Chuhang Liu, Botao Zhao +6
Large language models (LLMs) have achieved strong performance across a broad range of classification settings, yet the reliability of their predictions remains a major obstacle to…
Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization
Jianzong Wang, Botao Zhao, Yayun He +2
Achieving general-purpose robotics requires empowering robots to adapt and evolve based on their environment and feedback. Traditional methods face limitations such as extensive tr…
VLA-InfoEntropy: A Training-Free Vision-Attention Information Entropy Approach for Vision-Language-Action Models Inference Acceleration and Success
Chuhang Liu, Yayun He, Zuheng Kang +2
Vision-Language-Action (VLA) models integrate visual perception, language understanding, and action decision-making for cross-modal semantic alignment, exhibiting broad application…
Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation
Yayun He, Zuheng Kang, Botao Zhao +3
Vision-language models (VLMs) have significantly improved the generalization capabilities of robotic manipulation. However, VLM-based systems often suffer from a lack of robustness…
Attention-weighted Centered Kernel Alignment for Knowledge Distillation in Large Audio-Language Models Applied to Speech Emotion Recognition
Qingran Yang, Botao Zhao, Zuheng Kang +7
The emergence of Large Audio-Language Models (LALMs) has advanced Speech Emotion Recognition (SER), but their size limits deployment in resource-constrained environments. While Kno…