Marco Túlio Ribeiro

According to our database, Marco Túlio Ribeiro authored at least 39 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

What Did My AI Learn? How Data Scientists Make Sense of Model Behavior.

Ángel Alexander Cabrera, Marco Túlio Ribeiro, Bongshin Lee, Robert DeLine, Adam Perer, Steven Mark Drucker

ACM Trans. Comput. Hum. Interact., February, 2023

AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms.

Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Túlio Ribeiro, Alexandra Olteanu, Saleema Amershi

CoRR, 2023

Collaborative Development of NLP models.

Fereshte Khani, Marco Túlio Ribeiro

CoRR, 2023

Supporting Human-AI Collaboration in Auditing LLMs with LLMs.

Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi

CoRR, 2023

Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang

CoRR, 2023

ART: Automatic multi-step reasoning and tool-use for large language models.

Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro

CoRR, 2023

Collaborative Alignment of NLP Models.

Fereshte Khani, Marco Túlio Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ScatterShot: Interactive In-context Example Curation for Text Transformation.

Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Editing models with task arithmetic.

Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Testing of Computer Vision Models.

Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Supporting Human-AI Collaboration in Auditing LLMs with LLMs.

Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Targeted Data Generation: Finding and Fixing Model Weaknesses.

Zexue He, Marco Túlio Ribeiro, Fereshte Khani

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Finding and Fixing Spurious Patterns with Explanations.

Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar

Trans. Mach. Learn. Res., 2022

Editing Models with Task Arithmetic.

Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi

CoRR, 2022

Evaluating Systemic Error Detection Methods using Synthetic Images.

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar

CoRR, 2022

ExSum: From Local Explanations to Model Understanding.

Yilun Zhou, Marco Túlio Ribeiro, Julie Shah

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Fixing Model Bugs with Natural Language Patches.

Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adaptive Testing and Debugging of NLP Models.

Marco Túlio Ribeiro, Scott M. Lundberg

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Do Feature Attribution Methods Correctly Attribute Features?

Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Polyjuice: Automated, General-purpose Counterfactual Generation.

Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld

CoRR, 2021

Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract).

Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.

Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models.

Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges.

Rich Caruana, Scott M. Lundberg, Marco Túlio Ribeiro, Harsha Nori, Samuel Jenkins

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions.

Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList.

Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Errudite: Scalable, Reproducible, and Testable Error Analysis.

Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Are Red Roses Red? Evaluating Consistency of Question-Answering Models.

Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Model-Agnostic Explanations and Evaluation of Machine Learning.

Marco Túlio Ribeiro

PhD thesis, 2018

Semantically Equivalent Adversarial Rules for Debugging NLP models.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Anchors: High-Precision Model-Agnostic Explanations.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Model-Agnostic Interpretability of Machine Learning.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

CoRR, 2016

Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

CoRR, 2016

Programs as Black-Box Explanations.

Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin

CoRR, 2016

"Why Should I Trust You?": Explaining the Predictions of Any Classifier.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

Proceedings of the Demonstrations Session, 2016

2014

Multiobjective Pareto-Efficient Approaches for Recommender Systems.

Marco Túlio Ribeiro, Nivio Ziviani, Edleno Silva de Moura, Itamar Hata, Anísio Lacerda, Adriano Veloso

ACM Trans. Intell. Syst. Technol., 2014

2013

A Holistic Hybrid Algorithm for User Recommendation on Twitter.

Sara Guimarães, Marco Túlio Ribeiro, Renato M. Assunção, Wagner Meira Jr.

J. Inf. Data Manag., 2013

2012

Pareto-efficient hybridization for multi-objective recommender systems.

Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011

Spam detection using web page content: a new battleground.

Marco Túlio Ribeiro, Pedro Henrique Calais Guerra, Leonardo Vilela, Adriano Veloso, Dorgival O. Guedes, Wagner Meira Jr., Marcelo H. P. C. Chaves, Klaus Steding-Jessen, Cristine Hoepers

Proceedings of the 8th Annual Collaboration, 2011