Papers with closed and open-source LLMs
Evaluating Gender Bias of LLMs in Making Morality Judgements (2024.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) have shown remarkable capabilities in a multitude of NLP tasks, but are still not immune to limitations such as gender bias. |
| Approach: | They propose to use a dataset to examine whether LLMs possess gender bias when asked to give moral opinions. |
| Outcome: | The proposed models show that they are biased when asked to give moral opinions. |
Infogen: Generating Complex Statistical Infographics from Documents (2025.acl-long)
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| Challenge: | Existing efforts to generate simple charts have focused on generating simple infographics from text-heavy documents. |
| Approach: | They propose to generate statistical infographics composed of multiple sub-charts that are contextually accurate, insightful, and visually aligned. |
| Outcome: | The proposed framework outperforms both open-source and closed LLMs in text-to-statistical infographic generation. |