NormBank: A Knowledge Bank of Situational Social Norms
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Abstract (arXiv)
We present NormBank, a knowledge bank of 155k situational norms. This resource is designed to ground flexible normative reasoning for interactive, assistive, and collaborative AI systems. Unlike prior commonsense resources, NormBank grounds each inference within a multivalent sociocultural frame, which includes the setting (e.g., restaurant), the agents' contingent roles (waiter, customer), their attributes (age, gender), and other physical, social, and cultural constraints (e.g., the temperature or the country of operation). In total, NormBank contains 63k unique constraints from a taxonomy that we introduce and iteratively refine here. Constraints then apply in different combinations to frame social norms. Under these manipulations, norms are non-monotonic - one can cancel an inference by updating its frame even slightly. Still, we find evidence that neural models can help reliably extend the scope and coverage of NormBank. We further demonstrate the utility of this resource with a series of transfer experiments.
Key facts. Cited by 60 papers in the map (data through 14 Oct 2026). Builds on 34 of its 107 references that are in the map. First posted on arXiv 26 May 2023.
Builds on
34 of 107 references.
References · 34
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- 2020Language Models are Few-Shot Learnerscited by 32,419
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- 2019Language Models as Knowledge Bases?cited by 1,936
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- 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
- 2020Aligning AI With Shared Human Valuescited by 723
- 2019Learning the Difference that Makes a Difference with Counterfactually-Augmented Datacited by 439
22 more
- 2019Social Bias Frames: Reasoning about Social and Power Implications of Languagecited by 380
- 2019Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoningcited by 285
- 2020Social Chemistry 101: Learning to Reason about Social and Moral Normscited by 255
- 2018A Simple Method for Commonsense Reasoningcited by 223
- 2019WinoGrande: An Adversarial Winograd Schema Challenge at Scalecited by 204
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- 2020Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequencescited by 135
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- 2021UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmarkcited by 98
- 2022The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systemscited by 93
- 2017MovieGraphs: Towards Understanding Human-Centric Situations from Videoscited by 67
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- 2021Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Taskscited by 24
- 2019How Additional Knowledge can Improve Natural Language Commonsense Question Answering?cited by 22
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- 2020Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Pathscited by 8
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Citing papers per year: 2023: 5; 2024: 24; 2025: 14; 2026: 17.
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- 2024Norm Violation Detection in Multi-Agent Systems using Large Language Models: A Pilot Study25 Mar 2024
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- 2024Best Practices and Lessons Learned on Synthetic Data11 Apr 2024
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- 2024CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologiescited by 98
- 2024Massively Multi-Cultural Knowledge Acquisition & LM Benchmarkingcited by 63
- 2024CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Promptingcited by 55
- 2024Can Unconfident LLM Annotations Be Used for Confident Conclusions?cited by 49
- 2025Culture is Not Trivia: Sociocultural Theory for Cultural NLPcited by 40
- 2023EtiCor: Corpus for Analyzing LLMs for Etiquettescited by 33
- 2024Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Artcited by 26
- 2023NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violationcited by 24
- 2024Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questionscited by 22
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- 2026Do Audio Language Models Use Paralinguistic Evidence? Counterfactual Audits for Response Evaluation7 Aug 2026
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- 2026Positive Alignment: Artificial Intelligence for Human Flourishing11 May 2026
- 2026Using large language models for embodied planning introduces systematic safety risks20 Apr 2026
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