Amershi, Saleema
Microsoft (United States)
14 papers on CoChatORCID 0000-0002-3294-7288
Most cited papers
- Verified
Guidelines for Human-AI Interaction
Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., Inkpen, K., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 2,439
- Verified
Power to the People: The Role of Humans in Interactive Machine Learning
Amershi, S., Cakmak, M., Knox, W. B., & Kulesza, T. (2014) · AI Magazine
Machine Learning and AlgorithmsIntelligent Tutoring Systems and Adaptive Learning
Cited by 1,084
- Verified
Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems
Kocielnik, R., Amershi, S., & Bennett, P. N. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignTechnology Adoption and User Behaviour
Cited by 277
- Verified
How Different Groups Prioritize Ethical Values for Responsible AI
Jakesch, M., Buçinca, Z., Amershi, S., & Olteanu, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 116
- Verified
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Yang, Q., Cranshaw, J., Amershi, S., Iqbal, S. T., & Teevan, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 90
- Verified
Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Rastogi, C., Ribeiro, M. T., King, N., Nori, H., & Amershi, S. (2023) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 79
- Verified
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
Chung, J., Kamar, E., & Amershi, S. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 72
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Planning for Natural Language Failures with the AI Playbook
Hong, M. K., Fourney, A., DeBellis, D., & Amershi, S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 54
- Verified
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Toutanova, K., Brockett, C., Tran, K. M., & Amershi, S. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Advanced Text Analysis TechniquesNatural Language Processing Techniques
Cited by 42
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Interactive Debugging and Steering of Multi-Agent AI Systems
Epperson, W., Bansal, G., Dibia, V. C., Fourney, A., Gerrits, J., Zhu, E. (., & Amershi, S. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Software Testing and Debugging TechniquesUsability and User Interface Design
Cited by 35
- Verified
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Fourney, A., Bansal, G., Mozannar, H., Tan, C., Salinas, E., Erkang, Zhu, Niedtner, F., Proebsting, G., Bassman, G., et al. (2024) · arXiv
AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation
Cited by 17
- Verified
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Simard, P., Chickering, D., Lakshmiratan, A., Charles, D., Bottou, L., Suarez, C. G. J., Grangier, D., Amershi, S., Verwey, J., & Suh, J. (2014) · arXiv
Machine Learning and AlgorithmsRecommender Systems and Techniques
Cited by 15
- Verified
Challenges in Human-Agent Communication
Bansal, G., Vaughan, J. W., Amershi, S., Horvitz, E., Fourney, A., Mozannar, H., Dibia, V., & Weld, D. S. (2024) · arXiv
Speech and dialogue systemsSocial Robot Interaction and HRI
Cited by 8
- Verified
Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Bansal, G., Hua, W., Huang, Z., Fourney, A., Swearngin, A., Epperson, W., Payne, T., Hofman, J. M., Lucier, B., Singh, C., et al. (2025) · arXiv
Multi-Agent Systems and NegotiationEthics and Social Impacts of AI
Cited by 0
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