Papers by Seoha Lim

1 papers
Injecting Context via Situation Working Memory for Logical Reasoning with LLMs (2026.acl-long)

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Challenge: Recent advances in large language models have improved logical reasoning by injecting formal logic or explicit structured representations.
Approach: a cognitively inspired method is proposed to help LLMs construct a mental representation of events . SituW builds a situation representation by decomposing text along these five dimensions . it also guides LLM inference with this evolving state .
Outcome: a cognitively inspired method improves accuracy and predictability in large language models . SituW builds a mental representation by decomposing text along these dimensions .

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