Papers by Konstantinos Thomas
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations (2025.emnlp-main)
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| Challenge: | Large Language Models (LLMs) have revolutionized product recommenders, but their susceptibility to adversarial manipulations is difficult to detect. |
| Approach: | They propose to use large language models to investigate cognitive biases as adversarial strategies in product research using LLMs. |
| Outcome: | The proposed approach is the first to tap into human psychological principles, making such manipulations hard to detect. |
”I Never Said That”: A dataset, taxonomy and baselines on response clarity classification (2024.findings-emnlp)
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| Challenge: | Equivocation and ambiguity in public speech are well-studied discourse phenomena . a new taxonomy aims to detect and classify response clarity in political interviews . |
| Approach: | They propose a taxonomy that uses Large Language Models and human annotations to detect and classify response clarity in political interviews. |
| Outcome: | The proposed taxonomy combines ChatGPT and human annotations to identify clarity in political questions . it provides a fine-grained taxonomies for evasion techniques related to unclear, ambiguous responses . |