Besmira Nushi - RankMe

77 papers A* 18A 1B 6C 1Journal 45Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models. ACL (1) Rishabh Adiga, Besmira Nushi, Varun Chandrasekaran
2025	J	`jnl`	Detecting Data Contamination in LLMs via In-Context Learning. CoRR Michal Zawalski, Meriem Boubdir, Klaudia Balazy, Besmira Nushi, Pablo Ribalta
2025	A*	`conf`	Improving Instruction-Following in Language Models through Activation Steering. ICLR Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi
2025	J	`jnl`	Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. CoRR Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
2025	J	`jnl`	Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness. CoRR Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
2025	J	`jnl`	LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs. CoRR Yanan Cai, Ahmed Salem, Besmira Nushi, Mark Russinovich
2025	J	`jnl`	MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. CoRR Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman
2025	J	`jnl`	MM-GEN: Principled and Generalizable Data Curation for Enhancing Task Performance in VLMs. J. Data-centric Mach. Learn. Res. Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
2025	—	`ed.`	Proceedings of the ACM Collective Intelligence Conference, CI 2025, San Diego, CA, USA, August 4-6, 2025 CI Steven P. Dow, Joshua Becker, Besmira Nushi, Lisa O'Bryan, Saiph Savage
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2025	J	`jnl`	Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning. CoRR Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran
2025	A*	`conf`	Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. ICLR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2024	A*	`conf`	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
2024	J	`jnl`	Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models. CoRR Rishabh Adiga, Besmira Nushi, Varun Chandrasekaran
2024	J	`jnl`	BENCHAGENTS: Automated Benchmark Creation with Agent Interaction. CoRR Natasha Butt, Varun Chandrasekaran, Neel Joshi, Besmira Nushi, Vidhisha Balachandran
2024	J	`jnl`	Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models. CoRR Sebastian Bordt, Harsha Nori, Vanessa Rodrigues, Besmira Nushi, Rich Caruana
2024	J	`jnl`	Eureka: Evaluating and Understanding Large Foundation Models. CoRR Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
2024	J	`jnl`	Improving Instruction-Following in Language Models through Activation Steering. CoRR Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi
2024	J	`jnl`	Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt 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 N. 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
2024	A*	`conf`	KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. ICLR Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
2024	A*	`conf`	Understanding Information Storage and Transfer in Multi-Modal Large Language Models. NeurIPS Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
2024	J	`jnl`	Understanding Information Storage and Transfer in Multi-modal Large Language Models. CoRR Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
2024	J	`jnl`	Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2023	J	`jnl`	Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. ACM Trans. Comput. Hum. Interact. Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuse Hannah Veprek, Gabrielle Quinn
2023	J	`jnl`	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
2023	J	`jnl`	Diversity of Thought Improves Reasoning Abilities of Large Language Models. CoRR Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi
2023	J	`jnl`	KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. CoRR Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
2023	A*	`conf`	Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. ICML Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
2023	J	`jnl`	Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. CoRR Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
2023	C	`conf`	Social Biases through the Text-to-Image Generation Lens. AIES Ranjita Naik, Besmira Nushi
2023	J	`jnl`	Social Biases through the Text-to-Image Generation Lens. CoRR Ranjita Naik, Besmira Nushi
2022	J	`jnl`	Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. CoRR Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuse Hannah Veprek, Gabrielle Quinn
2022	J	`jnl`	Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
2022	A	`conf`	HINT: Integration Testing for AI-based features with Humans in the Loop. IUI Quan Ze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
2022	A*	`conf`	Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
2022	J	`jnl`	Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
2022	—	`conf`	Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. FAccT Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, Paul Fisher, Diane Wilson, Michael Fitzke, Mark Parkinson, Eric Horvitz, Kori Inkpen, Besmira Nushi
2022	J	`jnl`	Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. CoRR Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi
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`	Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. CoRR 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
2021	A*	`conf`	Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
2021	A*	`conf`	Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
2020	A*	`conf`	An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020	J	`jnl`	An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
2020	A*	`conf`	Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. WWW Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
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`	Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
2020	J	`jnl`	Optimizing AI for Teamwork. CoRR Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
2020	J	`jnl`	SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. CoRR Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar
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
2020	J	`jnl`	Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
2019	J	`jnl`	A Case for Backward Compatibility for Human-AI Teams. CoRR Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
2019	B	`conf`	Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz
2019	A*	`conf`	Guidelines for Human-AI Interaction. CHI 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
2019	J	`jnl`	Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
2019	A*	`conf`	Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
2019	—	`conf`	Software engineering for machine learning: a case study. ICSE (SEIP) Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann
2019	A*	`conf`	Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
2019	B	`conf`	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
2019	J	`jnl`	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
2018	J	`jnl`	Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017. CoRR Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
2018	B	`conf`	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP Besmira Nushi, Ece Kamar, Eric Horvitz
2018	J	`jnl`	Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR Besmira Nushi, Ece Kamar, Eric Horvitz
2017	A*	`conf`	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
2016	B	`conf`	Learning and Feature Selection under Budget Constraints in Crowdsourcing. HCOMP Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann
2016	J	`jnl`	On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. CoRR Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann
2016	—	`—`	Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems. Besmira Nushi
2015	B	`conf`	Crowd Access Path Optimization: Diversity Matters. HCOMP Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann
2015	J	`jnl`	Crowd Access Path Optimization: Diversity Matters. CoRR Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann
2015	B	`conf`	CrowdSTAR: A Social Task Routing Framework for Online Communities. ICWE Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
2015	J	`jnl`	Fault-Tolerant Entity Resolution with the Crowd. CoRR Anja Gruenheid, Besmira Nushi, Tim Kraska, Wolfgang Gatterbauer, Donald Kossmann
2014	J	`jnl`	CrowdSTAR: A Social Task Routing Framework for Online Communities. CoRR Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
2013	J	`jnl`	When is A=B? Bull. EATCS Anja Gruenheid, Donald Kossmann, Besmira Nushi
2012	J	`jnl`	Uncertain Time-Series Similarity: Return to the Basics CoRR Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
2012	J	`jnl`	Uncertain Time-Series Similarity: Return to the Basics. Proc. VLDB Endow. Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
2011	—	`conf`	Similarity matching for uncertain time series: analytical and experimental comparison. QUeST@GIS Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas