Chenhao Tan
4 papers in the PaperMetrix corpus
Papers by this author
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Explaining machine learning classifiers through diverse counterfactual explanations
2020
Post-hoc explanations of machine learning models are crucial for people to understand and act on algorithmic predictions. An intriguing class of explanations is through counterfactuals, hypothetical examples that show people how to obtain a different …
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On Positivity Bias in Negative Reviews
2021 · arXiv (Cornell University)
Prior work has revealed that positive words occur more frequently than negative words in human expressions, which is typically attributed to positivity bias, a tendency for people to report positive views of reality. But what …
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Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
2022 · CHI Conference on Human Factors in Computing Systems
Despite impressive performance in many benchmark datasets, AI models can still make mistakes, especially among out-of-distribution examples. It remains an open question how such imperfect models can be used effectively in collaboration with humans. Prior …
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Active Example Selection for In-Context Learning
2022
With a handful of demonstration examples, large-scale language models demonstrate strong capability to perform various tasks by in-context learning from these examples, without any fine-tuning. We demonstrate that in-context learning performance can be highly unstable …