Papers by Hyeonseok Jeon
Blinded by Context: Unveiling the Halo Effect of MLLM in AI Hiring (2025.findings-acl)
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| Challenge: | Large Language Models (LLMs) and Multimodal Large Language Modells (MLLMs) are increasingly being deployed across a range of domains, including finance, law, peer review, and recruitment. |
| Approach: | They investigated how image-based evaluations are influenced by non-job-related information, including extracurricular activities and social media images. |
| Outcome: | The proposed models exhibit significant halo effects in image-based evaluations while text-based assessments showed more resistance to bias. |
Will LLMs Sink or Swim? Exploring Decision-Making Under Pressure (2024.findings-emnlp)
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| Challenge: | Recent advances in Large Language Models (LLMs) have shown their ability to simulate human-like decision-making, yet the impact of psychological pressures on their decision- making processes remains underexplored. |
| Approach: | They used explicit and implicit pressure prompts to induce specific pressures and tested them on reasoning, psychometric, and game theory tasks. |
| Outcome: | The results show that pressures significantly affect LLMs’ decision-making, varying across tasks and models. |