Tag: auditory large language models
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How Repair Exposes Unreliable Multi-Turn Behavior in LLMs
Explore how repair mechanisms reveal inconsistent multi-turn dialogue behavior in GPT and Claude large language models, affecting conversational reliabilit...
LBLLM: Efficient Lightweight Binarization for Large LLMs
Discover LBLLM, a three-stage distillation method for lightweight binarization of large language models, boosting efficiency and accuracy in low-resource s...
Verbal Tics in Large Language Models: Systematic Study
Explore the rise of verbal tics in top LLMs, their impact on naturalness, and the need for improved alignment to enhance AI-human communication.
FedProxy: Advanced Federated Fine-Tuning for Large Language Models
Discover FedProxy, a cutting-edge framework enabling secure, efficient federated fine-tuning of LLMs with privacy and performance across diverse data.
R2-dLLM: Boost Diffusion LLM Speed by Cutting Redundancy
Discover how R2-dLLM reduces decoding redundancy to speed up diffusion large language models by up to 75% without sacrificing output quality.