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cs.CL2025
Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs
Xintong Tang, Meiru Zhang, Shang Xiao +5
Large language models (LLMs) are often constrained by rigid reasoning processes, limiting their ability to generate creative and diverse responses. To address this, a novel framewo…
cs.CL2025
From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models
Jinyi Liu, Yan Zheng, Rong Cheng +8
Recent advances in large language models (LLMs) have shown remarkable progress, yet their capacity for logical ``slow-thinking'' reasoning persists as a critical research frontier.…