Tag: auditory large language models
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LogicEval: Framework to Fix Logical Software Vulnerabilities
LogicEval evaluates automated repair methods for logical software vulnerabilities using the LogicDS dataset to improve real-world software security.
OSC: Efficient W4A4 Quantization for LLMs via Outlier Separation
Discover OSC, a hardware-efficient W4A4 quantization method using outlier separation to boost accuracy and speed in large language models.
CLASP: Efficient Pruning for Multimodal Large Language Models
Discover CLASP's class-adaptive fusion and dual-stage pruning to boost efficiency in multimodal large language models while reducing computational costs.
LASA: Enhancing LLM Safety with Language-Agnostic Alignment
Discover LASA, a novel framework improving LLM safety across languages by aligning semantics at the model's semantic bottleneck for robust protection.
Chain-of-Thought Prompts for Knowledge Graph Prediction
Discover how chain-of-thought prompts improve entity, relation, and literal prediction on knowledge graphs with RALP and large language models.