A New Framework for Trustworthy AI Deductive Reasoning | HackerNoonThe paper presents a framework enabling Large Language Models to enhance deductive reasoning through a structured verification process and improved accuracy.
Deductive Verification of Chain-of-Thought Reasoning: More Details on Answer Extraction | HackerNoonThe article describes a systematic approach to extracting conclusive answers from language models' responses using regular expressions and pattern recognition.
A New Framework for Trustworthy AI Deductive Reasoning | HackerNoonThe paper presents a framework enabling Large Language Models to enhance deductive reasoning through a structured verification process and improved accuracy.
Deductive Verification of Chain-of-Thought Reasoning: More Details on Answer Extraction | HackerNoonThe article describes a systematic approach to extracting conclusive answers from language models' responses using regular expressions and pattern recognition.
Deductive Verification with Natural Programs: Case Studies | HackerNoonThe article discusses using language models for deductive reasoning and their effectiveness in identifying logical errors.
When Deductive Reasoning Fails: Contextual Ambiguities in AI Models | HackerNoonNatural Program-based deductive reasoning verification shows promise but has limitations, particularly in handling contextual ambiguities affecting interpretation and reasoning accuracy.