Besmira Nushi

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All published works

Action	Title	Year	Authors
+ PDF Chat	MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation	2025	Siddharth Joshi Besmira Nushi Vidhisha Balachandran Varun Chandrasekaran Vibhav Vineet Neel Joshi Baharan Mirzasoleiman
+	Improving Instruction-Following in Language Models through Activation Steering	2024	Alessandro Stolfo Vidhisha Balachandran Safoora Yousefi Eric Horvitz Besmira Nushi
+ PDF Chat	Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models	2024	Rishabh Adiga Besmira Nushi Varun Chandrasekaran
+ PDF Chat	BENCHAGENTS: Automated Benchmark Creation with Agent Interaction	2024	Nigar Azhar Butt Varun Chandrasekaran Neel Joshi Besmira Nushi Vidhisha Balachandran
+ PDF Chat	Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models	2024	Mazda Moayeri Vidhisha Balachandran Varun Chandrasekaran Safoora Yousefi Thomas Fel Soheil Feizi Besmira Nushi Neel Joshi Vibhav Vineet
+ PDF Chat	Improving Instruction-Following in Language Models through Activation Steering	2024	Alessandro Stolfo Vidhisha Balachandran Safoora Yousefi Eric Horvitz Besmira Nushi
+ PDF Chat	Eureka: Evaluating and Understanding Large Foundation Models	2024	Vidhisha Balachandran J. C. Chen Neel Joshi Besmira Nushi Hamid Palangi Eduardo Salinas Vibhav Vineet James Woffinden-Luey Safoora Yousefi
+ PDF Chat	Understanding Information Storage and Transfer in Multi-modal Large Language Models	2024	Samyadeep Basu Martin Grayson Cecily Morrison Besmira Nushi Soheil Feizi Daniela Massiceti
+ PDF Chat	Introducing v0.5 of the AI Safety Benchmark from MLCommons	2024	Bertie Vidgen Adarsh Agrawal Ahmed Mohamed Ahmed Victor Akinwande Namir Al-Nuaimi Najla Alfaraj Elie Alhajjar Lora Aroyo Trupti Bavalatti Borhane Blili-Hamelin
+ PDF Chat	Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models	2024	Sebastian Bordt Harsha Nori Vanessa Mello Rodrigues Besmira Nushi Rich Caruana
+	Social Biases through the Text-to-Image Generation Lens	2023	Ranjita Naik Besmira Nushi
+	Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making	2023	Kori Inkpen Shreya Chappidi Keri Mallari Besmira Nushi Divya Ramesh Pietro Michelucci Vani Mandava Libuše Hannah Vepřek Gabrielle Quinn
+	Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning	2023	Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman
+	Social Biases through the Text-to-Image Generation Lens	2023	Ranjita Naik Besmira Nushi
+	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models	2023	Mert Yüksekgönül Varun Chandrasekaran Erik Jones Suriya Gunasekar Ranjita Naik Hamid Palangi Ece Kamar Besmira Nushi
+	Diversity of Thought Improves Reasoning Abilities of Large Language Models	2023	Ranjita Naik Varun Chandrasekaran Mert Yüksekgönül Hamid Palangi Besmira Nushi
+	KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval	2023	Marah Abdin Suriya Gunasekar Varun Chandrasekaran Jerry Li Mert Yüksekgönül Rahee Ghosh Peshawaria Ranjita Naik Besmira Nushi
+	Investigations of Performance and Bias in Human-AI Teamwork in Hiring	2022	Andi Peng Besmira Nushi Emre Kıcıman Kori Inkpen Ece Kamar
+ PDF Chat	Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging	2022	Riccardo Fogliato Shreya Chappidi Matthew P. Lungren Paul Fisher Diane Wilson Michael Fitzke Mark Parkinson Eric Horvitz Kori Inkpen Besmira Nushi
+	Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging	2022	Riccardo Fogliato Shreya Chappidi Matthew P. Lungren Michael Fitzke Mark Parkinson Diane Wilson Paul B. Fisher Eric Horvitz Kori Inkpen Besmira Nushi
+	Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making	2022	Kori Inkpen Shreya Chappidi Keri Mallari Besmira Nushi Divya Ramesh Pietro Michelucci Vani Mandava Libuše Hannah Vepřek Gabrielle Quinn
+	Investigations of Performance and Bias in Human-AI Teamwork in Hiring	2022	Andi Peng Besmira Nushi Emre Kıcıman Kori Inkpen Ece Kamar
+	Benchmarking Spatial Relationships in Text-to-Image Generation	2022	Tejas Gokhale Hamid Palangi Besmira Nushi Vibhav Vineet Eric Horvitz Ece Kamar Chitta Baral Yezhou Yang
+	Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs	2021	Shruthi Bannur Ozan Oktay Mélanie Bernhardt Anton Schwaighofer R. Jena Besmira Nushi Sharan Wadhwani Aditya V. Nori K. Natarajan Shazad Q. Ashraf
+ PDF Chat	Understanding Failures of Deep Networks via Robust Feature Extraction	2021	Sahil Singla Besmira Nushi Shital Shah Ece Kamar Eric Horvitz
+ PDF Chat	Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork	2021	Gagan Bansal Besmira Nushi Ece Kamar Eric Horvitz Daniel S. Weld
+ PDF Chat	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance	2021	Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Túlio Ribeiro Daniel S. Weld
+	Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs	2021	Shruthi Bannur Ozan Oktay Mélanie Bernhardt Anton Schwaighofer R. Jena Besmira Nushi Sharan Wadhwani Aditya Nori K. Natarajan Shazad Q. Ashraf
+	Understanding Failures of Deep Networks via Robust Feature Extraction	2020	Sahil Singla Besmira Nushi Shital Shah Ece Kamar Eric Horvitz
+ PDF Chat	An Empirical Analysis of Backward Compatibility in Machine Learning Systems	2020	Megha Srivastava Besmira Nushi Ece Kamar Shital Shah Eric Horvitz
+	An Empirical Analysis of Backward Compatibility in Machine Learning Systems	2020	Megha Srivastava Besmira Nushi Ece Kamar Shital Shah Eric Horvitz
+	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance	2020	Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Túlio Ribeiro Daniel S. Weld
+ PDF Chat	SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Túlio Ribeiro Besmira Nushi Ece Kamar
+	Optimizing AI for Teamwork.	2020	Gagan Bansal Besmira Nushi Ece Kamar Eric Horvitz Daniel S. Weld
+ PDF Chat	Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations	2020	Aditya Modi Debadeepta Dey Alekh Agarwal Adith Swaminathan Besmira Nushi Sean Andrist Eric Horvitz
+	SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Ribeiro Besmira Nushi Ece Kamar
+	An Empirical Analysis of Backward Compatibility in Machine Learning Systems	2020	Megha Srivastava Besmira Nushi Ece Kamar Shital Shah Eric Horvitz
+	Understanding Failures of Deep Networks via Robust Feature Extraction	2020	Sahil Singla Besmira Nushi Shital Shah Ece Kamar Eric Horvitz
+	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance	2020	Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Túlio Ribeiro Daniel S. Weld
+	SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Ribeiro Besmira Nushi Ece Kamar
+	Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork	2020	Gagan Bansal Besmira Nushi Ece Kamar Eric Horvitz Daniel S. Weld
+ PDF Chat	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring	2019	Andi Peng Besmira Nushi Emre Kıcıman Kori Inkpen Siddharth Suri Ece Kamar
+	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring	2019	Andi Peng Besmira Nushi Emre Kıcıman Kori Inkpen Siddharth Suri Ece Kamar
+	Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations	2019	Aditya Modi Debadeepta Dey Alekh Agarwal Adith Swaminathan Besmira Nushi Sean Andrist Eric Horvitz
+	A Case for Backward Compatibility for Human-AI Teams	2019	Gagan Bansal Besmira Nushi Ece Kamar Daniel S. Weld Walter S. Lasecki Eric Horvitz
+	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring	2019	Andi Peng Besmira Nushi Emre Kıcıman Kori Inkpen Siddharth Suri Ece Kamar
+	Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations	2019	Aditya Modi Debadeepta Dey Alekh Agarwal Adith Swaminathan Besmira Nushi Sean Andrist Eric Horvitz
+ PDF Chat	Characterizing the Internet Research Agency’s Social Media Operations During the 2016 U.S. Presidential Election using Linguistic Analyses	2018	Ryan L. Boyd Alexander Spangher Adam Fourney Besmira Nushi Gireeja Ranade James W. Pennebaker Eric Horvitz
+ PDF Chat	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure	2018	Besmira Nushi Ece Kamar Eric Horvitz
+	Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017	2018	Alexander Spangher Gireeja Ranade Besmira Nushi Adam Fourney Eric Horvitz
+	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure	2018	Besmira Nushi Ece Kamar Eric Horvitz
+ PDF Chat	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems	2017	Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann
+	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems	2016	Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann
+	Fault-Tolerant Entity Resolution with the Crowd.	2015	Anja Gruenheid Besmira Nushi Tim Kraska Wolfgang Gatterbauer Donald Kossmann
+ PDF Chat	Crowd Access Path Optimization: Diversity Matters	2015	Besmira Nushi Adish Singla Anja Gruenheid Erfan Zamanian Andreas Krause Donald Kossmann
+	Fault-Tolerant Entity Resolution with the Crowd	2015	Anja Gruenheid Besmira Nushi Tim Kraska Wolfgang Gatterbauer Donald Kossmann
+	Crowd Access Path Optimization: Diversity Matters	2015	Besmira Nushi Adish Singla Anja Gruenheid Erfan Zamanian Andreas Krause Donald Kossmann
+	CrowdSTAR: A Social Task Routing Framework for Online Communities	2014	Besmira Nushi Omar Alonso Martin Hentschel Vasileios Kandylas
+	CrowdSTAR: A Social Task Routing Framework for Online Communities	2014	Besmira Nushi Ómar Alonso Martin Hentschel Vasileios Kandylas
+	Uncertain Time-Series Similarity: Return to the Basics	2012	Michele Dallachiesa Besmira Nushi Кацярына Мирыленка Themis Palpanas
+	Uncertain Time-Series Similarity: Return to the Basics	2012	Michele Dallachiesa Besmira Nushi Кацярына Мирыленка Themis Palpanas

Common Coauthors

Coauthor	Papers Together
Ece Kamar	27
Eric Horvitz	27
Kori Inkpen	9
Varun Chandrasekaran	7
Shital Shah	6
Daniel S. Weld	6
Donald Kossmann	6
Gagan Bansal	5
Ranjita Naik	5
Hamid Palangi	5
Andi Peng	5
Emre Kıcıman	5
Neel Joshi	4
Marco Túlio Ribeiro	4
Shreya Chappidi	4
Anja Gruenheid	4
Vibhav Vineet	4
Raymond Fok	3
Purva Tendulkar	3
Mert Yüksekgönül	3
Aditya Modi	3
Ramprasaath R. Selvaraju	3
Devi Parikh	3
Adith Swaminathan	3
Sean Andrist	3
Siddharth Suri	3
Debadeepta Dey	3
Megha Srivastava	3
Sahil Singla	3
Alekh Agarwal	3
Tongshuang Wu	3
Vidhisha Balachandran	3
Vasileios Kandylas	2
Baharan Mirzasoleiman	2
Andreas Krause	2
Tim Kraska	2
Riccardo Fogliato	2
R. Jena	2
Adam Fourney	2
Michele Dallachiesa	2
Suriya Gunasekar	2
Sharan Wadhwani	2
Themis Palpanas	2
Erfan Zamanian	2
Shazad Q. Ashraf	2
Gabrielle Quinn	2
Javier Alvarez-Valle	2
Gireeja Ranade	2
Adish Singla	2
Vani Mandava	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making	2020	Yunfeng Zhang Q. Vera Liao Rachel Bellamy	5
+ PDF Chat	Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models	2018	Jiawei Zhang Yang Wang Piero Molino Lezhi Li David S. Ebert	4
+	Learning to Complement Humans	2020	Bryan Wilder Eric Horvitz Ece Kamar	4
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	4
+ PDF Chat	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems	2017	Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann	4
+ PDF Chat	The challenge of crafting intelligible intelligence	2019	Daniel S. Weld Gagan Bansal	4
+ PDF Chat	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance	2021	Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Túlio Ribeiro Daniel S. Weld	3
+ PDF Chat	Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems	2020	Zana Buçinca Phoebe Lin Krzysztof Z. Gajos Elena L. Glassman	3
+	Manipulating and Measuring Model Interpretability	2018	Forough Poursabzi-Sangdeh Daniel G. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna Wallach	3
+	Interpretable and Explorable Approximations of Black Box Models	2017	Himabindu Lakkaraju Ece Kamar Rich Caruana Jure Leskovec	3
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	3
+ PDF Chat	Manipulating and Measuring Model Interpretability	2021	Forough Poursabzi-Sangdeh Daniel G. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna Wallach	3
+ PDF Chat	Discrimination in the Age of Algorithms	2019	Jon Kleinberg Jens Ludwig Sendhil Mullainathan Cass R. Sunstein	3
+ PDF Chat	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure	2018	Besmira Nushi Ece Kamar Eric Horvitz	3
+ PDF Chat	The mythos of model interpretability	2018	Zachary C. Lipton	2
+	Explaining Classifiers with Causal Concept Effect (CaCE)	2019	Yash Goyal Amir Feder Uri Shalit Been Kim	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+	Quantifying Interpretability and Trust in Machine Learning Systems	2019	Philipp Schmidt Felix Bießmann	2
+ PDF Chat	From captions to visual concepts and back	2015	Hao Fang Saurabh Gupta Forrest Iandola Rupesh K. Srivastava Li Deng Piotr Dollár Jianfeng Gao Xiaodong He Margaret Mitchell John Platt	2
+ PDF Chat	On Human Predictions with Explanations and Predictions of Machine Learning Models	2019	Vivian Lai Chenhao Tan	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	Do explanations make VQA models more predictable to a human?	2018	Arjun Chandrasekaran Viraj Prabhu Deshraj Jain Prithvijit Chattopadhyay Devi Parikh	2
+	Deep Anomaly Detection with Outlier Exposure	2018	Dan Hendrycks Mantas Mazeika Thomas G. Dietterich	2
+	Pythia v0.1: the Winning Entry to the VQA Challenge 2018	2018	Yu Jiang Vivek Natarajan Xinlei Chen Marcus Rohrbach Dhruv Batra Devi Parikh	2
+	Eliciting and Enforcing Subjective Individual Fairness.	2019	Christopher Jung Michael Kearns Seth Neel Aaron Roth Logan Stapleton Zhiwei Steven Wu	2
+ PDF Chat	VQA: Visual Question Answering	2015	Stanislaw Antol Aishwarya Agrawal Jiasen Lu Margaret Mitchell Dhruv Batra C. Lawrence Zitnick Devi Parikh	2
+	A Human-Grounded Evaluation of SHAP for Alert Processing.	2019	Hilde Weerts Werner van Ipenburg Mykola Pechenizkiy	2
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	2
+ PDF Chat	Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints	2017	Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordóñez Kai-Wei Chang	2
+	A Contextual Bandit Bake-off	2018	Alberto Bietti Alekh Agarwal John Langford	2
+ PDF Chat	Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference	2018	Reza Ghaeini Xiaoli Z. Fern Prasad Tadepalli	2
+	Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making	2018	Michael Veale Max Van Kleek Reuben Binns	2
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	2
+ PDF Chat	'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions	2018	Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao Nigel Shadbolt	2
+ PDF Chat	Visualizing Deep Convolutional Neural Networks Using Natural Pre-images	2016	Aravindh Mahendran Andrea Vedaldi	2
+ PDF Chat	Incentivizing High Quality Crowdwork	2015	Chien-Ju Ho Aleksandrs Slivkins Siddharth Suri Jennifer Wortman Vaughan	2
+	An Efficient Bandit Algorithm for Realtime Multivariate Optimization	2017	Daniel Hill Houssam Nassif Yi Liu Anand Iyer S. V. N. Vishwanathan	2
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	2
+ PDF Chat	Learning Attitudes and Attributes from Multi-aspect Reviews	2012	Julian McAuley Jure Leskovec Dan Jurafsky	2
+ PDF Chat	Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review	2018	Suejb Memeti Sabri Pllana Alécio Pedro Delazari Binotto Joanna Kołodziej Ivona Brandić	2
+	Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks	2016	Anh Mai Nguyen Jason Yosinski Jeff Clune	2
+	Exploring models and data for image question answering	2015	Mengye Ren Ryan Kiros Richard S. Zemel	2
+	Women also Snowboard: Overcoming Bias in Captioning Models	2018	Kaylee Burns Lisa Anne Hendricks Kate Saenko Trevor Darrell Anna Rohrbach	2
+	Understanding disentangling in $β$-VAE	2018	Christopher Burgess Irina Higgins Arka Pal Löıc Matthey Nick Watters Guillaume Desjardins Alexander Lerchner	2
+	Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory.	2018	Kush R. Varshney Prashant Khanduri Pranay Sharma Shan Zhang Pramod K. Varshney	2
+ PDF Chat	Measuring Catastrophic Forgetting in Neural Networks	2018	Ronald Kemker Marc McClure Angelina Abitino Tyler L. Hayes Christopher Kanan	2
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	2
+	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations	2018	Francesco Locatello Stefan Bauer Mario Lučić Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem	2
+	The Isotonic Regression Problem and its Dual	1972	Richard E. Barlow H. D. Brunk	2