כתבה
arXiv cs.CL ·
Thought-Like-Pro: הגברת יכולת ההסבר של מודלי שפה גדולים דרך Chain-of-Thought
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Bootstrapped Prolog-based Chain-of-Thought
Thought-Like-Pro: פרקטיקה חדשה להגברת יכולת ההסבר של מודלי שפה גדולים. הפרקטיקה משתמשת ב-Chain-of-Thought שנוצר על ידי מנוע הלוגיקה הסימבולית Prolog.
תקציר מקורי באנגליתarXiv:2407.14562v3 Announce Type: replace-cross Abstract: Large language models have demonstrated remarkable capabilities as general-purpose assistants, excelling in a wide range of reasoning tasks and supporting various aspects of daily web usage. This achievement represents a significant step toward achieving artificial general intelligence. Despite these advancements, the effectiveness of large language models often hinges on the specific prompting strategies employed, and there remains a lack of a robust framework to facilitate learning and generalization across diverse reasoning tasks. To address these challenges, we introduce a novel learning framework, Thought-Like-Pro. In this framework, we utilize imitation learning to imitate the Chain-of-Thought process which is verified and tra
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arxiv.org
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