Similarity matching for uncertain time series: analytical and experimental comparison. - Michele Dallachiesa; Besmira Nushi; Katsiaryna Mirylenka; Themis Palpanas (QUeST@GIS, 2011)

Uncertain Time-Series Similarity: Return to the Basics. - Michele Dallachiesa; Besmira Nushi; Katsiaryna Mirylenka; Themis Palpanas (Proc. VLDB Endow., 2012)

When is A=B? - Anja Gruenheid; Donald Kossmann; Besmira Nushi (Bull. EATCS, 2013)

Crowd Access Path Optimization: Diversity Matters. - Besmira Nushi; Adish Singla; Anja Gruenheid; Erfan Zamanian; Andreas Krause 001; Donald Kossmann (HCOMP, 2015)

CrowdSTAR: A Social Task Routing Framework for Online Communities. - Besmira Nushi; Omar Alonso; Martin Hentschel 001; Vasileios Kandylas (ICWE, 2015)

Fault-Tolerant Entity Resolution with the Crowd. - Anja Gruenheid; Besmira Nushi; Tim Kraska; Wolfgang Gatterbauer; Donald Kossmann (CoRR, 2015)

Learning and Feature Selection under Budget Constraints in Crowdsourcing. - Besmira Nushi; Adish Singla; Andreas Krause 001; Donald Kossmann (HCOMP, 2016)

Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems. - Besmira Nushi (2016)

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. - Besmira Nushi; Ece Kamar; Eric Horvitz; Donald Kossmann (AAAI, 2017)

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. - Besmira Nushi; Ece Kamar; Eric Horvitz (HCOMP, 2018)

Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017. - Alexander Spangher; Gireeja Ranade; Besmira Nushi; Adam Fourney; Eric Horvitz (CoRR, 2018)

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. - Gagan Bansal; Besmira Nushi; Ece Kamar; Daniel S. Weld; Walter S. Lasecki; Eric Horvitz (AAAI, 2019)

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. - Ramya Ramakrishnan; Ece Kamar; Besmira Nushi; Debadeepta Dey; Julie Shah; Eric Horvitz (AAAI, 2019)

Guidelines for Human-AI Interaction. - 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; et al. (CHI, 2019)

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. - Gagan Bansal; Besmira Nushi; Ece Kamar; Walter S. Lasecki; Daniel S. Weld; Eric Horvitz (HCOMP, 2019)

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. - Andi Peng; Besmira Nushi; Emre Kiciman; Kori Inkpen; Siddharth Suri; Ece Kamar (HCOMP, 2019)

Software engineering for machine learning: a case study. - Saleema Amershi; Andrew Begel; Christian Bird; Robert DeLine; Harald C. Gall; Ece Kamar; Nachiappan Nagappan; Besmira Nushi; Thomas Zimmermann 001 (ICSE (SEIP), 2019)

A Case for Backward Compatibility for Human-AI Teams. - Gagan Bansal; Besmira Nushi; Ece Kamar; Daniel S. Weld; Walter S. Lasecki; Eric Horvitz (CoRR, 2019)

Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. - Aditya Modi 002; Debadeepta Dey; Alekh Agarwal; Adith Swaminathan; Besmira Nushi; Sean Andrist; Eric Horvitz (AAAI, 2020)

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. - Ramprasaath R. Selvaraju; Purva Tendulkar; Devi Parikh; Eric Horvitz; Marco Túlio Ribeiro; Besmira Nushi; Ece Kamar (CVPR, 2020)

An Empirical Analysis of Backward Compatibility in Machine Learning Systems. - Megha Srivastava; Besmira Nushi; Ece Kamar; Shital Shah; Eric Horvitz (KDD, 2020)

Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. - Alexander Spangher; Gireeja Ranade; Besmira Nushi; Adam Fourney; Eric Horvitz (WWW, 2020)

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. - Ramprasaath R. Selvaraju; Purva Tendulkar; Devi Parikh; Eric Horvitz; Marco Ribeiro; Besmira Nushi; Ece Kamar (CoRR, 2020)

Optimizing AI for Teamwork. - Gagan Bansal; Besmira Nushi; Ece Kamar; Eric Horvitz; Daniel S. Weld (CoRR, 2020)

Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. - Gagan Bansal; Besmira Nushi; Ece Kamar; Eric Horvitz; Daniel S. Weld (AAAI, 2021)

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. - Gagan Bansal; Tongshuang Wu; Joyce Zhou; Raymond Fok; Besmira Nushi; Ece Kamar; Marco Túlio Ribeiro; Daniel S. Weld (CHI, 2021)

Understanding Failures of Deep Networks via Robust Feature Extraction. - Sahil Singla 002; Besmira Nushi; Shital Shah; Ece Kamar; Eric Horvitz (CVPR, 2021)

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. - 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 (CoRR, 2021)

Investigations of Performance and Bias in Human-AI Teamwork in Hiring. - Andi Peng; Besmira Nushi; Emre Kiciman; Kori Inkpen; Ece Kamar (AAAI, 2022)

Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. - Riccardo Fogliato; Shreya Chappidi; Matthew P. Lungren; Paul Fisher; Diane Wilson; Michael Fitzke; Mark Parkinson; Eric Horvitz; Kori Inkpen; Besmira Nushi (FAccT, 2022)

HINT: Integration Testing for AI-based features with Humans in the Loop. - Quan Ze Chen; Tobias Schnabel; Besmira Nushi; Saleema Amershi (IUI, 2022)

Benchmarking Spatial Relationships in Text-to-Image Generation. - Tejas Gokhale; Hamid Palangi; Besmira Nushi; Vibhav Vineet; Eric Horvitz; Ece Kamar; Chitta Baral; Yezhou Yang (CoRR, 2022)

Social Biases through the Text-to-Image Generation Lens. - Ranjita Naik; Besmira Nushi (AIES, 2023)

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. - Yu Yang 007; Besmira Nushi; Hamid Palangi; Baharan Mirzasoleiman (ICML, 2023)

Diversity of Thought Improves Reasoning Abilities of Large Language Models. - Ranjita Naik; Varun Chandrasekaran; Mert Yüksekgönül; Hamid Palangi; Besmira Nushi (CoRR, 2023)

Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. - Kori Inkpen; Shreya Chappidi; Keri Mallari; Besmira Nushi; Divya Ramesh; Pietro Michelucci; Vani Mandava; Libuse Hannah Veprek; Gabrielle Quinn (ACM Trans. Comput. Hum. Interact., 2023)

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. - Marah I Abdin; Suriya Gunasekar; Varun Chandrasekaran; Jerry Li; Mert Yüksekgönül; Rahee Ghosh Peshawaria; Ranjita Naik; Besmira Nushi (ICLR, 2024)

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. - Mert Yüksekgönül; Varun Chandrasekaran; Erik Jones; Suriya Gunasekar; Ranjita Naik; Hamid Palangi; Ece Kamar; Besmira Nushi (ICLR, 2024)

Understanding Information Storage and Transfer in Multi-Modal Large Language Models. - Samyadeep Basu; Martin Grayson; Cecily Morrison; Besmira Nushi; Soheil Feizi; Daniela Massiceti (NeurIPS, 2024)

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models. - Sebastian Bordt; Harsha Nori; Vanessa Rodrigues; Besmira Nushi; Rich Caruana (CoRR, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

Eureka: Evaluating and Understanding Large Foundation Models. - Vidhisha Balachandran; Jingya Chen; Neel Joshi; Besmira Nushi; Hamid Palangi; Eduardo Salinas; Vibhav Vineet; James Woffinden-Luey; Safoora Yousefi (CoRR, 2024)

BENCHAGENTS: Automated Benchmark Creation with Agent Interaction. - Natasha Butt; Varun Chandrasekaran; Neel Joshi; Besmira Nushi; Vidhisha Balachandran (CoRR, 2024)

Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models. - Rishabh Adiga; Besmira Nushi; Varun Chandrasekaran (ACL (1), 2025)

Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. - Mazda Moayeri; Vidhisha Balachandran; Varun Chandrasekaran; Safoora Yousefi; Thomas Fel; Soheil Feizi; Besmira Nushi; Neel Joshi; Vibhav Vineet (ICLR, 2025)

Improving Instruction-Following in Language Models through Activation Steering. - Alessandro Stolfo; Vidhisha Balachandran; Safoora Yousefi; Eric Horvitz; Besmira Nushi (ICLR, 2025)

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. - Siddharth Joshi 004; Besmira Nushi; Vidhisha Balachandran; Varun Chandrasekaran; Vibhav Vineet; Neel Joshi; Baharan Mirzasoleiman (CoRR, 2025)

Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. - Vidhisha Balachandran; Jingya Chen; Lingjiao Chen; Shivam Garg; Neel Joshi; Yash Lara; John Langford 001; Besmira Nushi; Vibhav Vineet; Yue Wu; Safoora Yousefi (CoRR, 2025)

Phi-4-reasoning Technical Report. - Marah I Abdin; Sahaj Agarwal; Ahmed Awadallah 001; Vidhisha Balachandran; Harkirat S. Behl; Lingjiao Chen; Gustavo de Rosa; Suriya Gunasekar; Mojan Javaheripi; Neel Joshi; Piero Kauffmann; Yash Lara; et al. (CoRR, 2025)

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs. - Yanan Cai; Ahmed Salem 001; Besmira Nushi; Mark Russinovich (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)