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Besmira Nushi
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2020 – today
- 2024
- [c26]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 - [c25]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 - [i28]Sebastian Bordt, Harsha Nori, Vanessa Rodrigues, Besmira Nushi, Rich Caruana:
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models. CoRR abs/2404.06209 (2024) - [i27]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 abs/2404.12241 (2024) - [i26]Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti:
Understanding Information Storage and Transfer in Multi-modal Large Language Models. CoRR abs/2406.04236 (2024) - 2023
- [j3]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): 71:1-71:29 (2023) - [c24]Ranjita Naik, Besmira Nushi:
Social Biases through the Text-to-Image Generation Lens. AIES 2023: 786-808 - [c23]Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman:
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. ICML 2023: 39365-39379 - [i25]Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman:
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. CoRR abs/2304.03916 (2023) - [i24]Ranjita Naik, Besmira Nushi:
Social Biases through the Text-to-Image Generation Lens. CoRR abs/2304.06034 (2023) - [i23]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 abs/2309.15098 (2023) - [i22]Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi:
Diversity of Thought Improves Reasoning Abilities of Large Language Models. CoRR abs/2310.07088 (2023) - [i21]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 abs/2310.15511 (2023) - 2022
- [c22]Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar:
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI 2022: 12089-12097 - [c21]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. FAccT 2022: 1362-1374 - [c20]Quan Ze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi:
HINT: Integration Testing for AI-based features with Humans in the Loop. IUI 2022: 549-565 - [i20]Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar:
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR abs/2202.11812 (2022) - [i19]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 abs/2205.09696 (2022) - [i18]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 abs/2208.07960 (2022) - [i17]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 abs/2212.10015 (2022) - 2021
- [c19]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: 11405-11414 - [c18]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 - [c17]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR 2021: 12853-12862 - [i16]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 abs/2107.06618 (2021) - 2020
- [c16]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: 5207-5215 - [c15]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 - [c14]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD 2020: 3272-3280 - [c13]Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz:
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. WWW 2020: 2253-2263 - [i15]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 abs/2001.06927 (2020) - [i14]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i13]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) - [i12]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR abs/2008.04572 (2020) - [i11]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR abs/2012.01750 (2020)
2010 – 2019
- 2019
- [c12]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: 2429-2437 - [c11]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: 6137-6145 - [c10]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: 3 - [c9]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: 2-11 - [c8]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: 125-134 - [c7]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: 291-300 - [i10]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 abs/1905.05179 (2019) - [i9]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - [i8]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 abs/1909.03567 (2019) - 2018
- [c6]Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP 2018: 126-135 - [i7]Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR abs/1809.07424 (2018) - [i6]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 abs/1810.10033 (2018) - 2017
- [c5]Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI 2017: 1017-1025 - 2016
- [b1]Besmira Nushi:
Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems. ETH Zurich, Zürich, Switzerland, 2016 - [c4]Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann:
Learning and Feature Selection under Budget Constraints in Crowdsourcing. HCOMP 2016: 159-168 - [i5]Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. CoRR abs/1611.08309 (2016) - 2015
- [c3]Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann:
Crowd Access Path Optimization: Diversity Matters. HCOMP 2015: 130-139 - [c2]Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas:
CrowdSTAR: A Social Task Routing Framework for Online Communities. ICWE 2015: 219-230 - [i4]Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann:
Crowd Access Path Optimization: Diversity Matters. CoRR abs/1508.01951 (2015) - [i3]Anja Gruenheid, Besmira Nushi, Tim Kraska, Wolfgang Gatterbauer, Donald Kossmann:
Fault-Tolerant Entity Resolution with the Crowd. CoRR abs/1512.00537 (2015) - 2014
- [i2]Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas:
CrowdSTAR: A Social Task Routing Framework for Online Communities. CoRR abs/1407.6714 (2014) - 2013
- [j2]Anja Gruenheid, Donald Kossmann, Besmira Nushi:
When is A=B? Bull. EATCS 111 (2013) - 2012
- [j1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. Proc. VLDB Endow. 5(11): 1662-1673 (2012) - [i1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. CoRR abs/1208.1931 (2012) - 2011
- [c1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Similarity matching for uncertain time series: analytical and experimental comparison. QUeST@GIS 2011: 8-15
Coauthor Index
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last updated on 2024-08-16 19:24 CEST by the dblp team
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