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Publicly Verifiable Private Information Retrieval Protocols Based on Function Secret Sharing
TBD
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Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
Previous continual learning setups for embodied intelligence focused on executing low-level actions based on human commands, neglecting …
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Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts
One of the primary challenges in optimizing large language models (LLMs) for long-context inference lies in the high memory consumption …
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MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models
TBD
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RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models
BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation
Since the point cloud data is inherently irregular and unstructured, point cloud semantic segmentation has always been a challenging …
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BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation
Bridging the Modality Gap: Semantic-Calibrated Zero-shot Speech Emotion Captioning
TBD
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Bridging the Modality Gap: Semantic-Calibrated Zero-shot Speech Emotion Captioning
Data-free Black-box Knowledge Amalgamation
TBD
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Data-free Black-box Knowledge Amalgamation
Generalized Audio Deepfake Detection Using Frame-level Latent Information Entropy
Generalizability, the capacity of a robust model to perform effectively on unseen data, is crucial for audio deepfake detection due to …
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Generalized Audio Deepfake Detection Using Frame-level Latent Information Entropy
Logic Consistency Makes Large Language Models Personalized Reasoning Teachers
TBD
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Logic Consistency Makes Large Language Models Personalized Reasoning Teachers
MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs
When applying pre-trained large language models (LLMs) to address anomaly detection tasks, the multivariate time series (MTS) modality …
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MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs