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Home/Authors/Dongwon Lee

Dongwon Lee

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2HCI×1ML×1Crypto×1

Frequent co-authors

Mahjabin Nahar1×
Nafis Irtiza Tripto1×
Aiping Xiong1×
Ting-Hao `Kenneth' Huang1×
Ali Al-Lawati1×
Jason Lucas1×

Research Timeline

2026
LLM Benchmark Datasets Should Be Contamination-Resistant

The paper argues that current LLM benchmark datasets are often contaminated by being included in pretraining data, and proposes that future benchmarks must be contamination-resistant and support inference to maintain reliable model evaluation.

Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs

The study found that human judgment of logical fallacies is significantly biased by source labels (e.g., human vs. AI), while LLM evaluations remained comparatively stable across these source conditions.

Highlighted terms show continued research focus across papers

Papers

cs.HCcs.AIRecentMay 28, 2026

Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs

Mahjabin Nahar, Nafis Irtiza Tripto, Aiping Xiong, Ting-Hao `Kenneth' Huang +1 more

The study found that human judgment of logical fallacies is significantly biased by source labels (e.g., human vs. AI), while LLM evaluations remained comparatively stable across these source conditio…

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cs.LGcs.AIcs.CRRecentMay 19, 2026

LLM Benchmark Datasets Should Be Contamination-Resistant

Ali Al-Lawati, Jason Lucas, Dongwon Lee, Suhang Wang

The paper argues that current LLM benchmark datasets are often contaminated by being included in pretraining data, and proposes that future benchmarks must be contamination-resistant and support infer…

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