Besmira Nushi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 48

Top Topics

Machine Learning Systems

Artificially Intelligent

Chest Radiographs

Spatial Relationships

Top Venues

Publications

Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. ICLR (2024)
Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
Understanding Information Storage and Transfer in Multi-modal Large Language Models. CoRR (2024)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR (2024)
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR (2024)
Sebastian Bordt, Harsha Nori, Vanessa Rodrigues, Besmira Nushi, Rich Caruana
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models. CoRR (2024)
Ranjita Naik, Besmira Nushi
Social Biases through the Text-to-Image Generation Lens. CoRR (2023)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR (2023)
Ranjita Naik, Besmira Nushi
Social Biases through the Text-to-Image Generation Lens. AIES (2023)
Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi
Diversity of Thought Improves Reasoning Abilities of Large Language Models. CoRR (2023)
Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. CoRR (2023)
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. CoRR (2023)
Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuse Hannah Veprek, Gabrielle Quinn
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. ACM Trans. Comput. Hum. Interact. 30 (5) (2023)
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. ICML (2023)
Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuse Hannah Veprek, Gabrielle Quinn
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. CoRR (2022)
Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. CoRR (2022)
Riccardo Fogliato, Shreya Chappidi, Matthew 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. FAccT (2022)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR (2022)
Quan Ze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
HINT: Integration Testing for AI-based features with Humans in the Loop. IUI (2022)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI (2022)
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR (2022)
Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya V. Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel C. Castro
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. CoRR (2021)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR (2021)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI (2021)
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)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR (2020)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Optimizing AI for Teamwork. CoRR (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR (2020)
Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. CoRR (2020)
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. WWW (2020)
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI (2020)
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)
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 (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD (2020)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI (2019)
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann
Software engineering for machine learning: a case study. ICSE (SEIP) (2019)
Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi T. Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
Guidelines for Human-AI Interaction. CHI (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
A Case for Backward Compatibility for Human-AI Teams. CoRR (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP (2019)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR (2019)
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI (2019)
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR (2019)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP (2019)
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017. CoRR (2018)
Besmira Nushi, Ece Kamar, Eric Horvitz
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP (2018)
Besmira Nushi, Ece Kamar, Eric Horvitz
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR (2018)
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI (2017)
Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann
Learning and Feature Selection under Budget Constraints in Crowdsourcing. HCOMP (2016)
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. CoRR (2016)
Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann
Crowd Access Path Optimization: Diversity Matters. HCOMP (2015)
Anja Gruenheid, Besmira Nushi, Tim Kraska, Wolfgang Gatterbauer, Donald Kossmann
Fault-Tolerant Entity Resolution with the Crowd. CoRR (2015)
Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
CrowdSTAR: A Social Task Routing Framework for Online Communities. ICWE (2015)
Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann
Crowd Access Path Optimization: Diversity Matters. CoRR (2015)
Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
CrowdSTAR: A Social Task Routing Framework for Online Communities. CoRR (2014)
Anja Gruenheid, Donald Kossmann, Besmira Nushi
When is A=B? Bull. EATCS 111 (2013)
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
Uncertain Time-Series Similarity: Return to the Basics. Proc. VLDB Endow. 5 (11) (2012)
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
Uncertain Time-Series Similarity: Return to the Basics CoRR (2012)
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
Similarity matching for uncertain time series: analytical and experimental comparison. QUeST@GIS (2011)