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cs.CL2025
Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data
Zishan Ahmad, Saisubramaniam Gopalakrishnan
Large Language Models (LLMs), despite their remarkable capabilities, rely on singular, pre-dominant reasoning paradigms, hindering their performance on intricate problems that dema…
cs.CL2023★ 4 cited
Minimizing Factual Inconsistency and Hallucination in Large Language Models
Muneeswaran I, Shreya Saxena, Siva Prasad +5
Large Language Models (LLMs) are widely used in critical fields such as healthcare, education, and finance due to their remarkable proficiency in various language-related tasks. Ho…