mlsanityData to 14 Oct 2026

An Enhanced Knowledge Injection Model for Commonsense Generation

arXiv 2012.00366 ↗First posted 1 Dec 2020cs.CLcited by 21

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Abstract (arXiv)

Commonsense generation aims at generating plausible everyday scenario description based on a set of provided concepts. Digging the relationship of concepts from scratch is non-trivial, therefore, we retrieve prototypes from external knowledge to assist the understanding of the scenario for better description generation. We integrate two additional modules, namely position indicator and scaling module, into the pretrained encoder-decoder model for prototype modeling to enhance the knowledge injection procedure. We conduct experiment on CommonGen benchmark, and experimental results show that our method significantly improves the performance on all the metrics.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2020.

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Citing papers per year: 2021: 7; 2022: 6; 2023: 2; 2024: 4; 2025: 2.

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  1. 2024Injecting New Knowledge into Large Language Models via Supervised Fine-Tuningcited by 58
  2. 2024On the Way to LLM Personalization: Learning to Remember User Conversationscited by 21
  3. 2024Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learningcited by 19
  4. 2021Retrieval Enhanced Model for Commonsense Generationcited by 18
  5. 2021NAREOR: The Narrative Reordering Problemcited by 14
  6. 2021Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Modelscited by 9
  7. 2021SAPPHIRE: Approaches for Enhanced Concept-to-Text Generationcited by 8
  8. 2022Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoningcited by 8
  9. 2021Contextualized Scene Imagination for Generative Commonsense Reasoningcited by 7
  10. 2025When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorationscited by 7
  11. 2021KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generationcited by 6
  12. 2022Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approachcited by 4
9 more
  1. 2021KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoningcited by 3
  2. 2023Learning to Predict Concept Ordering for Common Sense Generationcited by 3
  3. 2022VER: Unifying Verbalizing Entities and Relationscited by 2
  4. 2022Lexical Complexity Controlled Sentence Generationcited by 2
  5. 2023KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answeringcited by 2
  6. 2024DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generationcited by 2
  7. 2022PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generationcited by 1
  8. 2022ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generationcited by 1
  9. 2025KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controlscited by 0