Besmira Nushi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
13
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models. | Rishabh Adiga, Besmira Nushi, Varun Chandrasekaran |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Improving Instruction-Following in Language Models through Activation Steering. | Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi |
| 2024 | ICLR | KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. | Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yksekgnl, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi |
| 2024 | ICLR | Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. | Mert Yksekgnl, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi |
| 2023 | AIES | Social Biases through the Text-to-Image Generation Lens. | Ranjita Naik, Besmira Nushi |
| 2023 | ICML | Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. | Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman |
| 2022 | AAAI | Investigations of Performance and Bias in Human-AI Teamwork in Hiring. | Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar |
| 2022 | IUI | HINT: Integration Testing for AI-based features with Humans in the Loop. | Quan Ze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi |
| 2021 | AAAI | Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. | Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld |
| 2021 | CHI | 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 Tlio Ribeiro, Daniel S. Weld |
| 2021 | CVPR | Understanding Failures of Deep Networks via Robust Feature Extraction. | Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz |
| 2020 | AAAI | Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. | Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz |
| 2020 | CVPR | SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. | Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Tlio Ribeiro, Besmira Nushi, Ece Kamar |
| 2020 | KDD | An Empirical Analysis of Backward Compatibility in Machine Learning Systems. | Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz |
| 2020 | WWW | Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. | Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz |
| 2019 | AAAI | 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 |
| 2019 | AAAI | 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 |
| 2019 | CHI | 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, Eric Horvitz |
| 2019 | HCOMP | 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 |
| 2019 | HCOMP | 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 |
| 2019 | ICSE | 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 |
| 2018 | HCOMP | Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. | Besmira Nushi, Ece Kamar, Eric Horvitz |
| 2017 | AAAI | On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. | Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann |
| 2016 | HCOMP | Learning and Feature Selection under Budget Constraints in Crowdsourcing. | Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann |
| 2015 | HCOMP | Crowd Access Path Optimization: Diversity Matters. | Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann |
| 2015 | ICWE | CrowdSTAR: A Social Task Routing Framework for Online Communities. | Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas |