WM-SAR decomposes sarcasm into LLM-agent components, quantifies literal-normative inconsistency deterministically, and integrates it with intention via logistic regression to outperform prior sarcasm detectors on benchmarks.
25651–25659 (2025)
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World model inspired sarcasm reasoning with large language model agents
WM-SAR decomposes sarcasm into LLM-agent components, quantifies literal-normative inconsistency deterministically, and integrates it with intention via logistic regression to outperform prior sarcasm detectors on benchmarks.