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Found 3 papers, 2 papers with code
Head-wise Shareable Attention for Large Language Models
In this paper, we present a perspective on $\textit{$\textbf{head-wise shareable attention for large language models}$}$.
LaCo: Large Language Model Pruning via Layer Collapse
Large language models (LLMs) based on transformer are witnessing a notable trend of size expansion, which brings considerable costs to both model training and inference.
AutoHall: Automated Hallucination Dataset Generation for Large Language Models
While Large language models (LLMs) have garnered widespread applications across various domains due to their powerful language understanding and generation capabilities, the detection of non-factual or hallucinatory content generated by LLMs remains scarce.
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