Designing CIspace: pedagogy and usability in a learning environment for AI. - Saleema Amershi; N. Arksey; Giuseppe Carenini; Cristina Conati; Alan K. Mackworth; Heather Maclaren; David Poole 001 (ITiCSE, 2005)

Automatic Recognition of Learner Groups in Exploratory Learning Environments. - Saleema Amershi; Cristina Conati (Intelligent Tutoring Systems, 2006)

Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces. - Cristina Conati; Christina Merten; Saleema Amershi; Kasia Muldner (AAAI, 2007)

Unsupervised and supervised machine learning in user modeling for intelligent learning environments. - Saleema Amershi; Cristina Conati (IUI, 2007)

Intelligence in Wikipedia. - Daniel S. Weld; Fei Wu 003; Eytan Adar; Saleema Amershi; James Fogarty; Raphael Hoffmann; Kayur Patel; Michael Skinner (AAAI, 2008)

CoSearch: a system for co-located collaborative web search. - Saleema Amershi; Meredith Ringel Morris (CHI, 2008)

Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace. - Saleema Amershi; Giuseppe Carenini; Cristina Conati; Alan K. Mackworth; David Poole 001 (Interact. Comput., 2008)

Co-located collaborative web search: understanding status quo practices. - Saleema Amershi; Meredith Ringel Morris (CHI Extended Abstracts, 2009)

Amplifying community content creation with mixed initiative information extraction. - Raphael Hoffmann; Saleema Amershi; Kayur Patel; Fei Wu 003; James Fogarty; Daniel S. Weld (CHI, 2009)

Overview based example selection in end user interactive concept learning. - Saleema Amershi; James Fogarty; Ashish Kapoor; Desney S. Tan (UIST, 2009)

Examining multiple potential models in end-user interactive concept learning. - Saleema Amershi; James Fogarty; Ashish Kapoor; Desney S. Tan (CHI, 2010)

Multiple mouse text entry for single-display groupware. - Saleema Amershi; Meredith Ringel Morris; Neema Moraveji; Ravin Balakrishnan; Kentaro Toyama (CSCW, 2010)

Comparing web interaction models in developing regions. - Jay Chen; Saleema Amershi; Aditya Dhananjay; Lakshminarayanan Subramanian (ACM DEV, 2010)

Effective End-User Interaction with Machine Learning. - Saleema Amershi; James Fogarty; Ashish Kapoor; Desney S. Tan (AAAI, 2011)

CueT: human-guided fast and accurate network alarm triage. - Saleema Amershi; Bongshin Lee; Ashish Kapoor; Ratul Mahajan; Blaine Christian (CHI, 2011)

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage. - Saleema Amershi; Bongshin Lee; Ashish Kapoor; Ratul Mahajan; Blaine Christian (IJCAI, 2011)

Designing for effective end-user interaction with machine learning. - Saleema Amershi (UIST (Adjunct Volume), 2011)

Regroup: interactive machine learning for on-demand group creation in social networks. - Saleema Amershi; James Fogarty; Daniel S. Weld (CHI, 2012)

Designing for Effective End-User Interaction with Machine Learning. - Saleema Amershi (2012)

IUI workshop on interactive machine learning. - Saleema Amershi; Maya Cakmak; W. Bradley Knox; Todd Kulesza; Tessa Lau (IUI Companion, 2013)

LiveAction: Automating Web Task Model Generation. - Saleema Amershi; Jalal Mahmud; Jeffrey Nichols 001; Tessa Lau; German Attanasio Ruiz (ACM Trans. Interact. Intell. Syst., 2013)

Structured labeling for facilitating concept evolution in machine learning. - Todd Kulesza; Saleema Amershi; Rich Caruana; Danyel Fisher; Denis Xavier Charles (CHI, 2014)

Power to the People: The Role of Humans in Interactive Machine Learning. - Saleema Amershi; Maya Cakmak; W. Bradley Knox; Todd Kulesza (AI Mag., 2014)

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. - Patrice Y. Simard; David Maxwell Chickering; Aparna Lakshmiratan; Denis Xavier Charles; Léon Bottou; Carlos Garcia Jurado Suarez; David Grangier; Saleema Amershi; Johan Verwey; Jina Suh (CoRR, 2014)

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. - Saleema Amershi; Max Chickering; Steven Mark Drucker; Bongshin Lee; Patrice Y. Simard; Jina Suh (CHI, 2015)

FeatureInsight: Visual support for error-driven feature ideation in text classification. - Michael Brooks; Saleema Amershi; Bongshin Lee; Steven Mark Drucker; Ashish Kapoor; Patrice Y. Simard (VAST, 2015)

Human-Centred Machine Learning. - Marco Gillies; Rebecca Fiebrink; Atau Tanaka; Jérémie Garcia; Frédéric Bevilacqua; Alexis Héloir; Fabrizio Nunnari; Wendy E. Mackay; Saleema Amershi; Bongshin Lee; Nicolas D'Alessandro; Joëlle Tilmanne; et al. (CHI Extended Abstracts, 2016)

A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. - Kristina Toutanova; Chris Brockett; Ke M. Tran; Saleema Amershi (EMNLP, 2016)

The Label Complexity of Mixed-Initiative Classifier Training. - Jina Suh; Xiaojin Zhu 001; Saleema Amershi (ICML, 2016)

Active Learning with Oracle Epiphany. - Tzu-Kuo Huang; Lihong Li 001; Ara Vartanian; Saleema Amershi; Xiaojin Zhu 001 (NIPS, 2016)

Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. - Joseph Chee Chang; Saleema Amershi; Ece Kamar (CHI, 2017)

Machine Teaching: A New Paradigm for Building Machine Learning Systems. - Patrice Y. Simard; Saleema Amershi; David Maxwell Chickering; Alicia Edelman Pelton; Soroush Ghorashi; Christopher Meek; Gonzalo A. Ramos; Jina Suh; Johan Verwey; Mo Wang; John Wernsing (CoRR, 2017)

Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers. - Donghao Ren; Saleema Amershi; Bongshin Lee; Jina Suh; Jason D. Williams (IEEE Trans. Vis. Comput. Graph., 2017)

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)

Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. - Rafal Kocielnik; Saleema Amershi; Paul N. Bennett (CHI, 2019)

Emerging Perspectives in Human-Centered Machine Learning. - Gonzalo A. Ramos; Jina Suh; Soroush Ghorashi; Christopher Meek; Richard Banks; Saleema Amershi; Rebecca Fiebrink; Alison Smith-Renner; Gagan Bansal (CHI Extended Abstracts, 2019)

Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence. - Qian Yang 004; Justin Cranshaw; Saleema Amershi; Shamsi T. Iqbal; Jaime Teevan (CHI, 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)

Toward Responsible AI by Planning to Fail. - Saleema Amershi (KDD, 2020)

"Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation. - Tobias Schnabel; Gonzalo A. Ramos; Saleema Amershi (RecSys, 2020)

The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. - Tobias Schnabel; Saleema Amershi; Paul N. Bennett; Peter Bailey; Thorsten Joachims (SIGIR, 2020)

Planning for Natural Language Failures with the AI Playbook. - Matthew K. Hong; Adam Fourney; Derek DeBellis; Saleema Amershi (CHI, 2021)

How Different Groups Prioritize Ethical Values for Responsible AI. - Maurice Jakesch; Zana Buçinca; Saleema Amershi; Alexandra Olteanu (FAccT, 2022)

REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. - Jessie J. Smith; Saleema Amershi; Solon Barocas; Hanna M. Wallach; Jennifer Wortman Vaughan (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)

Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers. - Victor Dibia; Adam Fourney; Gagan Bansal; Forough Poursabzi-Sangdeh; Han Liu; Saleema Amershi (CoRR, 2022)

Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. - John Joon Young Chung; Ece Kamar; Saleema Amershi (ACL (1), 2023)

Aligning Offline Metrics and Human Judgments of Value for Code Generation Models. - Victor Dibia; Adam Fourney; Gagan Bansal; Forough Poursabzi-Sangdeh; Han Liu; Saleema Amershi (ACL (Findings), 2023)

Supporting Human-AI Collaboration in Auditing LLMs with LLMs. - Charvi Rastogi; Marco Túlio Ribeiro; Nicholas King; Harsha Nori; Saleema Amershi (AIES, 2023)

Architecting Novel Interactions with Generative AI Models. - Michael S. Bernstein; Joon Sung Park; Meredith Ringel Morris; Saleema Amershi; Lydia B. Chilton; Mitchell L. Gordon (UIST (Adjunct Volume), 2023)

Supporting Human-AI Collaboration in Auditing LLMs with LLMs. - Charvi Rastogi; Marco Túlio Ribeiro; Nicholas King; Saleema Amershi (CoRR, 2023)

AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms. - Zana Buçinca; Chau Minh Pham; Maurice Jakesch; Marco Túlio Ribeiro; Alexandra Olteanu; Saleema Amershi (CoRR, 2023)

Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction. - Tianyi Li 008; Mihaela Vorvoreanu; Derek DeBellis; Saleema Amershi (ACM Trans. Comput. Hum. Interact., 2023)

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems. - Victor Dibia; Jingya Chen; Gagan Bansal; Suff Syed; Adam Fourney; Erkang Zhu; Chi Wang 001; Saleema Amershi (CoRR, 2024)

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks. - Adam Fourney; Gagan Bansal; Hussein Mozannar; Cheng Tan; Eduardo Salinas; Erkang Zhu; Friederike Niedtner; Grace Proebsting; Griffin Bassman; Jack Gerrits; Jacob Alber; Peter Chang; et al. (CoRR, 2024)

Challenges in Human-Agent Communication. - Gagan Bansal; Jennifer Wortman Vaughan; Saleema Amershi; Eric Horvitz; Adam Fourney; Hussein Mozannar; Victor Dibia; Daniel S. Weld (CoRR, 2024)

Interactive Debugging and Steering of Multi-Agent AI Systems. - Will Epperson; Gagan Bansal; Victor C. Dibia; Adam Fourney; Jack Gerrits; Erkang (Eric) Zhu; Saleema Amershi (CHI, 2025)

Magentic-UI: Towards Human-in-the-loop Agentic Systems. - Hussein Mozannar; Gagan Bansal; Cheng Tan; Adam Fourney; Victor Dibia; Jingya Chen; Jack Gerrits; Tyler Payne; Matheus Kunzler Maldaner; Madeleine Grunde-McLaughlin; Eric Zhu; Griffin Bassman; et al. (CoRR, 2025)