Papers by Esra Dönmez
“I understand your perspective”: LLM Persuasion through the Lens of Communicative Action Theory (2025.findings-acl)
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| Challenge: | Large Language Models (LLMs) can generate high-quality arguments, yet their ability to engage in nuanced and persuasive communicative actions remains largely unexplored. |
| Approach: | They examine whether Large Language Models express illocutionary intent in ways comparable to human communication by simulated online discussions . |
| Outcome: | The proposed models express illocutionary intents in ways comparable to human communication, and crowd-sourced workers prefer them over human-written ones. |
AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts (2025.emnlp-main)
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| Challenge: | Distinguishing LLM-generated text from human-written is a key challenge for safe and ethical NLP, especially in high-stake settings such as persuasive online discourse. |
| Approach: | They propose to use general-purpose linguistic features and domain-specific features related to argument quality to compare human- and LLM-authored arguments. |
| Outcome: | The proposed framework compares arguments by humans and three LLMs using two easily-interpretable feature sets. |
Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification (2024.emnlp-main)
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| Challenge: | Large Language Models (LLMs) are becoming a part of our everyday lives by being used as tools for information search, content creation, writing assistance, and many more. |
| Approach: | They propose to use Large Language Models to detect offensive online language in applications with social risk, such as late-life companions and online content moderators. |
| Outcome: | The proposed models fail to detect offensive language and are therefore unsuitable for use in social applications such as late-life companions and online content moderators. |