This Machine Learning Research Discusses Understanding the Reasoning Ability of Language Models from the Perspective of Reasoning Paths Aggregation

Large Language Models (LLMs) have proven to be exceptionally good at handling complicated reasoning problems in recent times. These tasks include solving mathematical puzzles, applying logic to solve difficulties, and solving challenges involving world knowledge without explicit fine-tuning. Researchers have been trying to answer the question of what role pre-training has in establishing reasoning capacities […]

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