Targeting logical connectives with gradient steering, localized branching, and transition optimization improves LLM reasoning chain stability and efficiency.
for example, if the answer is option A, the output should be'/boxed{A}' [User Prompt] # Hypothesis: [hypothesis] # Question: [question] # Options: A
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Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains
Targeting logical connectives with gradient steering, localized branching, and transition optimization improves LLM reasoning chain stability and efficiency.