Manoel Horta Ribeiro — accepted AI-conference papers

2025

Position: When Incentives Backfire, Data Stops Being Human

Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey R Allen, Sewoong Oh

ICML 2025poster

Progress in AI has relied on human-generated data, from annotator marketplaces to the wider Internet. However, the widespread use of large language models now threatens the quality and integrity of human-generated data on these very platforms. We argue that this issue goes beyond the immediate chall…

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2024

Can Language Models Recognize Convincing Arguments?

Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West

EMNLP 2024finding

The capabilities of large language models (LLMs) have raised concerns about their potential to create and propagate convincing narratives. Here, we study their performance in detecting convincing arguments to gain insights into LLMs’ persuasive capabilities without directly engaging in experimentati…

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