🏢 Intel Labs
SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models
·4327 words·21 mins·
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AI Generated
🤗 Daily Papers
Natural Language Processing
Question Answering
🏢 Intel Labs
SQUARE, a novel prompting technique, enhances LLM reasoning by prompting self-interrogation through sequential question answering, significantly outperforming traditional methods.
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
·2154 words·11 mins·
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AI Generated
🤗 Daily Papers
Natural Language Processing
Large Language Models
🏢 Intel Labs
Low-rank adapters combined with neural architecture search revolutionize LLM compression, enabling efficient fine-tuning and significantly reduced memory footprint.
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging
·269 words·2 mins·
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AI Generated
🤗 Daily Papers
Natural Language Processing
Large Language Models
🏢 Intel Labs
Boost fine-tuned LLMs’ performance without sacrificing safety by merging pre- and post-tuning model weights!