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Marco Túlio Ribeiro
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2020 – today
- 2023
- [j4]Ángel Alexander Cabrera
, Marco Túlio Ribeiro
What Did My AI Learn? How Data Scientists Make Sense of Model Behavior. ACM Trans. Comput. Hum. Interact. 30(1): 1-27 (2023) - [c24]Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) 2023: 8506-8520 - [c23]Charvi Rastogi
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. AIES 2023: 913-926 - [c22]Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro:
Adaptive Testing of Computer Vision Models. ICCV 2023: 3980-3991 - [c21]Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing models with task arithmetic. ICLR 2023 - [c20]Sherry Wu
ScatterShot: Interactive In-context Example Curation for Text Transformation. IUI 2023: 353-367 - [c19]Fereshte Khani, Marco Túlio Ribeiro:
Collaborative Alignment of NLP Models. NeurIPS 2023 - [i21]Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR abs/2302.07346 (2023) - [i20]Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro:
ART: Automatic multi-step reasoning and tool-use for large language models. CoRR abs/2303.09014 (2023) - [i19]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:
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR abs/2303.12712 (2023) - [i18]Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi:
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. CoRR abs/2304.09991 (2023) - [i17]Fereshte Khani, Marco Túlio Ribeiro:
Collaborative Development of NLP models. CoRR abs/2305.12219 (2023) - [i16]Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR abs/2305.17804 (2023) - [i15]Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Túlio Ribeiro, Alexandra Olteanu, Saleema Amershi:
AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms. CoRR abs/2306.03280 (2023) - 2022
- [j3]Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar:
Finding and Fixing Spurious Patterns with Explanations. Trans. Mach. Learn. Res. 2022 (2022) - [c18]Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022: 9623-9633 - [c17]Marco Túlio Ribeiro, Scott M. Lundberg:
Adaptive Testing and Debugging of NLP Models. ACL (1) 2022: 3253-3267 - [c16]Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro:
Fixing Model Bugs with Natural Language Patches. EMNLP 2022: 11600-11613 - [c15]Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. NAACL-HLT 2022: 5359-5378 - [i14]Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. CoRR abs/2205.00130 (2022) - [i13]Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar:
Evaluating Systemic Error Detection Methods using Synthetic Images. CoRR abs/2207.04104 (2022) - [i12]Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro:
Fixing Model Bugs with Natural Language Patches. CoRR abs/2211.03318 (2022) - [i11]Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro:
Adaptive Testing of Computer Vision Models. CoRR abs/2212.02774 (2022) - [i10]Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing Models with Task Arithmetic. CoRR abs/2212.04089 (2022) - 2021
- [c14]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) 2021: 6707-6723 - [c13]Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI 2021: 81:1-81:16 - [c12]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI 2021: 4824-4828 - [i9]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR abs/2101.00288 (2021) - [i8]Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? CoRR abs/2104.14403 (2021) - [i7]Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar:
Finding and Fixing Spurious Patterns with Explanations. CoRR abs/2106.02112 (2021) - 2020
- [c11]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL 2020: 4902-4912 - [c10]Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar:
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. CVPR 2020: 10000-10008 - [c9]Rich Caruana, Scott M. Lundberg, Marco Túlio Ribeiro, Harsha Nori, Samuel Jenkins:
Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges. KDD 2020: 3511-3512 - [i6]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR abs/2005.04118 (2020) - [i5]Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR abs/2006.14779 (2020)
2010 – 2019
- 2019
- [c8]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) 2019: 747-763 - [c7]Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh:
Are Red Roses Red? Evaluating Consistency of Question-Answering Models. ACL (1) 2019: 6174-6184 - 2018
- [b1]Marco Túlio Ribeiro:
Model-Agnostic Explanations and Evaluation of Machine Learning. University of Washington, USA, 2018 - [c6]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Anchors: High-Precision Model-Agnostic Explanations. AAAI 2018: 1527-1535 - [c5]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Semantically Equivalent Adversarial Rules for Debugging NLP models. ACL (1) 2018: 856-865 - 2016
- [c4]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. KDD 2016: 1135-1144 - [c3]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. HLT-NAACL Demos 2016: 97-101 - [i4]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. CoRR abs/1602.04938 (2016) - [i3]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Model-Agnostic Interpretability of Machine Learning. CoRR abs/1606.05386 (2016) - [i2]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance. CoRR abs/1611.05817 (2016) - [i1]Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin:
Programs as Black-Box Explanations. CoRR abs/1611.07579 (2016) - 2014
- [j2]Marco Túlio Ribeiro, Nivio Ziviani, Edleno Silva de Moura, Itamar Hata, Anísio Lacerda, Adriano Veloso:
Multiobjective Pareto-Efficient Approaches for Recommender Systems. ACM Trans. Intell. Syst. Technol. 5(4): 53:1-53:20 (2014) - 2013
- [j1]Sara Guimarães, Marco Túlio Ribeiro, Renato M. Assunção, Wagner Meira Jr.:
A Holistic Hybrid Algorithm for User Recommendation on Twitter. J. Inf. Data Manag. 4(3): 341-356 (2013) - 2012
- [c2]Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani:
Pareto-efficient hybridization for multi-objective recommender systems. RecSys 2012: 19-26 - 2011
- [c1]Marco Túlio Ribeiro, Pedro Henrique Calais Guerra, Leonardo Vilela, Adriano Veloso, Dorgival O. Guedes
Spam detection using web page content: a new battleground. CEAS 2011: 83-91
Coauthor Index
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