Marco Tlio Ribeiro
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
13
Active years
2012–2023
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | Targeted Data Generation: Finding and Fixing Model Weaknesses. | Zexue He, Marco Tlio Ribeiro, Fereshte Khani |
| 2023 | AIES | Supporting Human-AI Collaboration in Auditing LLMs with LLMs. | Charvi Rastogi, Marco Tlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi |
| 2023 | ICCV | Adaptive Testing of Computer Vision Models. | Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Tlio Ribeiro |
| 2023 | ICLR | Editing models with task arithmetic. | Gabriel Ilharco, Marco Tlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi |
| 2023 | IUI | ScatterShot: Interactive In-context Example Curation for Text Transformation. | Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Tlio Ribeiro |
| 2022 | AAAI | Do Feature Attribution Methods Correctly Attribute Features? | Yilun Zhou, Serena Booth, Marco Tlio Ribeiro, Julie Shah |
| 2022 | ACL | Adaptive Testing and Debugging of NLP Models. | Marco Tlio Ribeiro, Scott M. Lundberg |
| 2022 | EMNLP | Fixing Model Bugs with Natural Language Patches. | Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Tlio Ribeiro |
| 2022 | NAACL | ExSum: From Local Explanations to Model Understanding. | Yilun Zhou, Marco Tlio Ribeiro, Julie Shah |
| 2021 | ACL | Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. | Tongshuang Wu, Marco Tlio Ribeiro, Jeffrey Heer, Daniel S. Weld |
| 2021 | CHI | 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 Tlio Ribeiro, Daniel S. Weld |
| 2021 | IJCAI | Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). | Marco Tlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh |
| 2020 | ACL | Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. | Marco Tlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh |
| 2020 | CVPR | SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. | Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Tlio Ribeiro, Besmira Nushi, Ece Kamar |
| 2020 | KDD | Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges. | Rich Caruana, Scott M. Lundberg, Marco Tlio Ribeiro, Harsha Nori, Samuel Jenkins |
| 2019 | ACL | Are Red Roses Red? Evaluating Consistency of Question-Answering Models. | Marco Tlio Ribeiro, Carlos Guestrin, Sameer Singh |
| 2019 | ACL | Errudite: Scalable, Reproducible, and Testable Error Analysis. | Tongshuang Wu, Marco Tlio Ribeiro, Jeffrey Heer, Daniel S. Weld |
| 2018 | AAAI | Anchors: High-Precision Model-Agnostic Explanations. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2018 | ACL | Semantically Equivalent Adversarial Rules for Debugging NLP models. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2016 | KDD | "Why Should I Trust You?": Explaining the Predictions of Any Classifier. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2016 | NAACL | "Why Should I Trust You?": Explaining the Predictions of Any Classifier. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2012 | RecSys | Pareto-efficient hybridization for multi-objective recommender systems. | Marco Tlio Ribeiro, Ansio Lacerda, Adriano Veloso, Nivio Ziviani |