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Human-like chatbots necessitate the use of commonsense reasoning in order to effectively comprehend and respond to implicit information present within conversations.
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Maieutic prompting: Logically consistent reasoning with recursive explanations
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Think beyond words: Exploring context-relevant visual commonsense for diverse dialogue generation
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Training language models to follow instructions with human feedback
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Can transformers reason in fragments of natural language?
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Multiview contextual commonsense inference: A new dataset and task
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Chain of thought prompting elicits reasoning in large language models
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CICERO: A dataset for contextualized commonsense inference in dialogues
Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, and Soujanya Poria. 2022a
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Reflect, not reflex: Inference-based common ground improves dialogue response quality
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Knowledge-augmented reasoning distillation for small language models in knowledge-intensive tasks
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Commonsense reasoning for conversational ai: A survey of the state of the art
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Least-to-most prompting enables complex reasoning in large language models
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