AAAI 2026technical0 citations

EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models

Jiacheng Huang, Ning Yu, Xiaoyin Yi

Abstract

Large language models (LLMs) are increasingly deployed in real-world communication settings, yet their ability to resolve context-dependent ambiguity remains underexplored. In this work, we present EMODIS, a new benchmark for evaluating LLMs

BibTeX
@inproceedings{aaai2026_emodisabenchmark,
  title = {EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models},
  author = {Jiacheng Huang and Ning Yu and Xiaoyin Yi},
  booktitle = {AAAI 2026},
  year = {2026}
}
EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models · AAAI 2026