lukasellinger/homonym-mcl-wic

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If you use any of the work, please cite the following paper:

```tex
@InProceedings{ellinger-anschtz-groh:2025:RANLP,
  author    = {Ellinger, Lukas  and  AnschÃ¼tz, Miriam  and  Groh, Georg},
  title     = {Simplifications Are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions},
  booktitle      = {Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI era},
  month          = {September},
  year           = {2025},
  address        = {Varna, Bulgaria},
  publisher      = {INCOMA Ltd., Shoumen, Bulgaria},
  pages     = {342--351},
  abstract  = {Large Language Models (LLMs) can provide accurate word definitions and explanations for any context. However, the scope of the definition changes for different target groups, like children or language learners. This is especially relevant for homonymsâ€”words with multiple meaningsâ€”where oversimplification might risk information loss by omitting key senses, potentially misleading users who trust LLM outputs. We investigate how simplification impacts homonym definition quality across three target groups: Normal, Simple, and ELI5. Using two novel evaluation datasets spanning multiple languages, we test DeepSeek v3, Llama 4 Maverick, Qwen3-30B A3B, GPT-4o mini, and Llama 3.1 8B via LLM-as-Judge and human annotations. Our results show that simplification drastically degrades definition completeness

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dataset_licence({ "id": "lukasellinger/homonym-mcl-wic" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0