Besmira Nushi

According to our database1, Besmira Nushi authored at least 38 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making.
ACM Trans. Comput. Hum. Interact., October, 2023

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval.
CoRR, 2023

Diversity of Thought Improves Reasoning Abilities of Large Language Models.
CoRR, 2023

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.
CoRR, 2023

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning.
Proceedings of the International Conference on Machine Learning, 2023

Social Biases through the Text-to-Image Generation Lens.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Benchmarking Spatial Relationships in Text-to-Image Generation.
CoRR, 2022

HINT: Integration Testing for AI-based features with Humans in the Loop.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Investigations of Performance and Bias in Human-AI Teamwork in Hiring.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Understanding Failures of Deep Networks via Robust Feature Extraction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Optimizing AI for Teamwork.
CoRR, 2020

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions.
CoRR, 2020

Characterizing Search-Engine Traffic to Internet Research Agency Web Properties.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

An Empirical Analysis of Backward Compatibility in Machine Learning Systems.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Case for Backward Compatibility for Human-AI Teams.
CoRR, 2019

Software engineering for machine learning: a case study.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Guidelines for Human-AI Interaction.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017.
CoRR, 2018

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

2017
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems.
PhD thesis, 2016

Learning and Feature Selection under Budget Constraints in Crowdsourcing.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2015
Fault-Tolerant Entity Resolution with the Crowd.
CoRR, 2015

CrowdSTAR: A Social Task Routing Framework for Online Communities.
Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015

Crowd Access Path Optimization: Diversity Matters.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2013
When is A=B?
Bull. EATCS, 2013

2012
Uncertain Time-Series Similarity: Return to the Basics.
Proc. VLDB Endow., 2012

2011
Similarity matching for uncertain time series: analytical and experimental comparison.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, 2011


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