Papers by Tushar Singhal
Uncovering Stereotypes in Large Language Models: A Task Complexity-based Approach (2024.eacl-long)
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| Challenge: | Recent Large Language Models (LLMs) have unlocked unprecedented applications of AI. |
| Approach: | They propose to use a social benchmark to evaluate the bias protection provided by Large Language Models (LLMs) with a variety of tasks with varying complexities to assess their effectiveness. |
| Outcome: | The proposed benchmark shows that both ChatGPT and GPT-4 have strong biases with respect to nationality, gender, race, and religion. |