Marco Túlio Ribeiro

51 papers A* 12A 2C 1Journal 26Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sequential Diagnosis with Language Models. CoRR Harsha Nori, Mayank Daswani, Christopher Kelly, Scott M. Lundberg, Marco Túlio Ribeiro, Marc Wilson, Xiaoxuan Liu, Viknesh Sounderajah, Jonathan Carlson, Matthew P. Lungren, Bay Gross, Peter Hames, Mustafa Suleyman, Dominic King, Eric Horvitz
2023	J	`jnl`	AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms. CoRR Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Túlio Ribeiro, Alexandra Olteanu, Saleema Amershi
2023	J	`jnl`	ART: Automatic multi-step reasoning and tool-use for large language models. CoRR Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro
2023	A*	`conf`	Adaptive Testing of Computer Vision Models. ICCV Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro
2023	A*	`conf`	Collaborative Alignment of NLP Models. NeurIPS Fereshte Khani, Marco Túlio Ribeiro
2023	J	`jnl`	Collaborative Development of NLP models. CoRR Fereshte Khani, Marco Túlio Ribeiro
2023	A*	`conf`	Editing models with task arithmetic. ICLR Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
2023	A	`conf`	ScatterShot: Interactive In-context Example Curation for Text Transformation. IUI Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro
2023	J	`jnl`	ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro
2023	J	`jnl`	Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR 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
2023	C	`conf`	Supporting Human-AI Collaboration in Auditing LLMs with LLMs. AIES Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
2023	J	`jnl`	Supporting Human-AI Collaboration in Auditing LLMs with LLMs. CoRR Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi
2023	—	`conf`	Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) Zexue He, Marco Túlio Ribeiro, Fereshte Khani
2023	J	`jnl`	Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR Zexue He, Marco Túlio Ribeiro, Fereshte Khani
2023	J	`jnl`	What Did My AI Learn? How Data Scientists Make Sense of Model Behavior. ACM Trans. Comput. Hum. Interact. Ángel Alexander Cabrera, Marco Túlio Ribeiro, Bongshin Lee, Robert DeLine, Adam Perer, Steven Mark Drucker
2022	—	`conf`	Adaptive Testing and Debugging of NLP Models. ACL (1) Marco Túlio Ribeiro, Scott M. Lundberg
2022	J	`jnl`	Adaptive Testing of Computer Vision Models. CoRR Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro
2022	A*	`conf`	Do Feature Attribution Methods Correctly Attribute Features? AAAI Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2022	J	`jnl`	Editing Models with Task Arithmetic. CoRR Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
2022	J	`jnl`	Evaluating Systemic Error Detection Methods using Synthetic Images. CoRR Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar
2022	—	`conf`	ExSum: From Local Explanations to Model Understanding. NAACL-HLT Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
2022	J	`jnl`	ExSum: From Local Explanations to Model Understanding. CoRR Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
2022	J	`jnl`	Finding and Fixing Spurious Patterns with Explanations. Trans. Mach. Learn. Res. Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar
2022	A*	`conf`	Fixing Model Bugs with Natural Language Patches. EMNLP Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro
2022	J	`jnl`	Fixing Model Bugs with Natural Language Patches. CoRR Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro
2021	A*	`conf`	Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2021	J	`jnl`	Do Feature Attribution Methods Correctly Attribute Features? CoRR Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2021	A*	`conf`	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2021	J	`jnl`	Finding and Fixing Spurious Patterns with Explanations. CoRR Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar
2021	J	`jnl`	Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
2021	—	`conf`	Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
2020	A*	`conf`	Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020	J	`jnl`	Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020	J	`jnl`	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2020	A*	`conf`	Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges. KDD Rich Caruana, Scott M. Lundberg, Marco Túlio Ribeiro, Harsha Nori, Samuel Jenkins
2020	A*	`conf`	SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. CVPR Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar
2019	—	`conf`	Are Red Roses Red? Evaluating Consistency of Question-Answering Models. ACL (1) Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh
2019	—	`conf`	Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
2018	A*	`conf`	Anchors: High-Precision Model-Agnostic Explanations. AAAI Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2018	—	`—`	Model-Agnostic Explanations and Evaluation of Machine Learning. Marco Túlio Ribeiro
2018	—	`conf`	Semantically Equivalent Adversarial Rules for Debugging NLP models. ACL (1) Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016	A*	`conf`	"Why Should I Trust You?": Explaining the Predictions of Any Classifier. KDD Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016	—	`conf`	"Why Should I Trust You?": Explaining the Predictions of Any Classifier. HLT-NAACL Demos Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016	J	`jnl`	"Why Should I Trust You?": Explaining the Predictions of Any Classifier. CoRR Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016	J	`jnl`	Model-Agnostic Interpretability of Machine Learning. CoRR Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016	J	`jnl`	Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance. CoRR Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016	J	`jnl`	Programs as Black-Box Explanations. CoRR Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin
2014	J	`jnl`	Multiobjective Pareto-Efficient Approaches for Recommender Systems. ACM Trans. Intell. Syst. Technol. Marco Túlio Ribeiro, Nivio Ziviani, Edleno Silva de Moura, Itamar Hata, Anísio Lacerda, Adriano Veloso
2013	J	`jnl`	A Holistic Hybrid Algorithm for User Recommendation on Twitter. J. Inf. Data Manag. Sara Guimarães, Marco Túlio Ribeiro, Renato M. Assunção, Wagner Meira Jr.
2012	A	`conf`	Pareto-efficient hybridization for multi-objective recommender systems. RecSys Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani
2011	—	`conf`	Spam detection using web page content: a new battleground. CEAS 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