Papers by Shiyang Lai
Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation (2026.findings-acl)
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| Challenge: | Short-video platforms have become major channels for misinformation, but their robustness against misinformation entangled with cognitive biases remains under-explored. |
| Approach: | They propose a framework for evaluation of short-video platforms that use visual cues and social cue. |
| Outcome: | The proposed framework evaluates MLLMs across five modality settings. |
Hidden Persuaders: LLMs’ Political Leaning and Their Influence on Voters (2024.emnlp-main)
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| Challenge: | This paper examines the political leanings of large language models (LLMs) in the 2024 election. |
| Approach: | They propose to use large language models to examine users' political leanings in the 2024 presidential election to determine their political preference. |
| Outcome: | The proposed models show that they have a political leaning and can influence political views in the 2024 presidential election. |