Tag: auditory large language models
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Balancing Ethical Reasoning and Safety in Large Language Models
Explore how TRIAL and ERR frameworks improve ethical reasoning and safety alignment in Large Language Models to prevent harmful outputs.
Enhancing LLM Tool Use via Automated Feedback Environments
Discover how automated environments and feedback-driven training improve large language models' tool use and task execution precision.
Sandwich: Efficient CPU Serving for Large Language Models
Discover Sandwich, a CPU LLM serving system that boosts performance with phase switching, hardware-aware allocation, and fast dynamic tensor tuning.
Two-Stage Structured Pruning Boosts LLM Efficiency
Discover how two-stage regularization-based structured pruning enhances large language models by retaining knowledge and improving performance.
MulDimIF: Enhancing Instruction Following in LLMs
Discover MulDimIF, a framework to evaluate and improve instruction following in large language models with multi-dimensional constraints.