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Probing Classifiers are Unreliable for Concept Removal and Detection


Jul 08, 2022
Abhinav Kumar, Chenhao Tan, Amit Sharma


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Learning to Ignore Adversarial Attacks


May 23, 2022
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan

* 14 pages, 2 figures 

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Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation


Apr 25, 2022
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan

* 18 pages, 44 figures 

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Machine Explanations and Human Understanding


Feb 08, 2022
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan

* 26 pages, 13 figures 

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Rethinking Explainability as a Dialogue: A Practitioner's Perspective


Feb 03, 2022
Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh


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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies


Dec 21, 2021
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan

* 36 pages, 2 figures, see https://haidecisionmaking.github.io for website 

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What to Learn, and How: Toward Effective Learning from Rationales


Nov 30, 2021
Samuel Carton, Surya Kanoria, Chenhao Tan

* 13 pages, 8 figures 

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Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI


Oct 12, 2021
Yangqiaoyu Zhou, Chenhao Tan

* 8 pages, 4 figures, EMNLPWorkshop on Insights from Negative Results in NLP 2021, data is available at https://github.com/ChicagoHAI/hans-explanations 

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Decision-Focused Summarization


Sep 14, 2021
Chao-Chun Hsu, Chenhao Tan

* 16 pages, 10 figures, EMNLP 2021, code is available at https://github.com/ChicagoHAI/decsum 

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On Positivity Bias in Negative Reviews


Jun 22, 2021
Madhusudhan Aithal, Chenhao Tan

* 11 pages, 17 figures, ACL 2021 

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