Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences (2021.emnlp-main)
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| Challenge: | aaron carroll: in social settings, human behavior is governed by unspoken rules of conduct rooted in societal norms . carroll and colleagues examine whether language generation models can serve as behavioral priors if they are not . they say we examine whether they can generate descriptions of actions that accomplish predefined goals . |
| Approach: | They propose to combine multiple expert models to improve quality of generated actions, consequences, and norms. |
| Outcome: | The proposed models significantly improve the quality of generated actions, consequences, and norms compared to baselines. |
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| Challenge: | Recent studies focus on data-driven methods to judge the ethics of complex real-world narratives but face two major challenges: they cannot handle dilemma situations due to a lack of basic knowledge about social norms; and they focus on sparse situation-level judgment regardless of the social norm. |
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Contextualizing Language Models for Norms Diverging from Social Majority (2022.findings-emnlp)
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| Challenge: | Recent studies on transformer-based language models have shown that there seems to be a 'moral dimension' to LMs, as they show high accuracy in related downstream tasks such as moral reasoning and action classification. |
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A Corpus for Understanding and Generating Moral Stories (2022.naacl-main)
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| Challenge: | Existing tasks for evaluating story understanding and generation focus on reasoning plots from context, but they focus on bridging plots with implied morals. |
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Aligning to Social Norms and Values in Interactive Narratives (2022.naacl-main)
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| Challenge: | Social value alignment is the ability to create agents that act in alignment with socially beneficial norms and values in interactive narratives or text-based games. |
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| Challenge: | SOCIAL CHEMISTRY is a conceptual formalism to study people’s everyday social norms and moral judgments over a rich spectrum of real life situations described in natural language. |
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| Challenge: | Existing approaches to analyze moral reasoning are discordant and lack cohesion, focusing on isolated aspects of the process. |
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Tales of Morality: Comparing Human- and LLM-Generated Moral Stories from Visual Cues (2025.findings-emnlp)
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| Challenge: | a recent study has found that stories are central to how humans communicate moral values . |
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Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanu Mitra, David Jurgens, Yulia Tsvetkov
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Social Story Frames: Contextual Reasoning about Narrative Intent and Reception (2026.acl-long)
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Joel Mire, Maria Antoniak, Steven R Wilson, Zexin Ma, Achyutarama R Ganti, Andrew Piper, Maarten Sap
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Story Morals: Surfacing value-driven narrative schemas using large language models (2024.emnlp-main)
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| Challenge: | Using large language models, we extract and validate story morals across a diverse set of narrative genres. |
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