An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
On the map: LLM reasoning → Reasoning benchmarks and evaluation
Abstract (arXiv)
This review explores recent advances in commonsense reasoning and intent detection, two key challenges in natural language understanding. We analyze 28 papers from ACL, EMNLP, and CHI (2020-2025), organizing them by methodology and application. Commonsense reasoning is reviewed across zero-shot learning, cultural adaptation, structured evaluation, and interactive contexts. Intent detection is examined through open-set models, generative formulations, clustering, and human-centered systems. By bridging insights from NLP and HCI, we highlight emerging trends toward more adaptive, multilingual, and context-aware models, and identify key gaps in grounding, generalization, and benchmark design.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 8 of its 48 references that are in the map. First posted on arXiv 16 Jun 2025.
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- 2019COMET: Commonsense Transformers for Automatic Knowledge Graph Constructioncited by 450
- 2019KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoningcited by 216
- 2021Generated Knowledge Prompting for Commonsense Reasoningcited by 214
- 2019QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questionscited by 89
- 2019SocialIQA: Commonsense Reasoning about Social Interactionscited by 37
- 2020"I'd rather just go to bed": Understanding Indirect Answerscited by 36
- 2018Towards Empathetic Open-domain Conversation Models: a New Benchmark and Datasetcited by 18
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- 2023An Overview Of Temporal Commonsense Reasoning and Acquisition
- 2023CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
- 2022Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning
- 2022Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios
- 2025Com2: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
- 2022Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
- 2023Advancing Transformer's Capabilities in Commonsense Reasoning
- 2026Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning