| 2026 | ACL | TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics. | Chao Wen, Jacqueline Staub, Adish Singla |
| 2026 | ICER | Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks. | Victor-Alexandru Padurean, Kaitlin Riegel, Gweneth Barbre, Musa Blake, Paul Denny, Alkis Gotovos, Juho Leinonen, Stephen MacNeil, James Prather, Adish Singla |
| 2026 | ICER | When AI Is Wrong on Purpose: How Students Respond to Buggy GenAI Code. | Victor-Alexandru Padurean, Kaitlin Riegel, Alkis Gotovos, Jyotika Mahapatra, Ahana Ghosh, Paul Denny, Juho Leinonen, James Prather, Adish Singla |
| 2026 | ITiCSE | Interleaving Natural Language Prompting with Code Editing for Solving Programming Tasks with Generative AI Models. | Victor-Alexandru Padurean, Alkis Gotovos, Ahana Ghosh, Paul Denny, Juho Leinonen, Andrew Luxton-Reilly, James Prather, Adish Singla |
| 2026 | ITiCSE | Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education. | Kaitlin Riegel, Yan Cathy Hua, Paul Denny, Victor-Alexandru Padurean, Juho Leinonen, James Prather, Adish Singla |
| 2026 | SIGCSE | Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education. | Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla |
| 2025 | AAAI | Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints. | Jonathan Nther, Adish Singla, Goran Radanovic |
| 2025 | ACL | Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment. | Chao Wen, Jacqueline Staub, Adish Singla |
| 2025 | AIED | Synthesizing High-Quality Programming Tasks with LLM-Based Expert and Student Agents. | Manh Hung Nguyen, Victor-Alexandru Padurean, Alkis Gotovos, Sebastian Tschiatschek, Adish Singla |
| 2025 | AIED | Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education. | Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla, Christopher Brooks |
| 2025 | AIED | ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs. | Bahar Radmehr, Ekaterina Shved, Fatma Betl Gres, Adish Singla, Tanja Kser |
| 2025 | AISTATS | Corruption Robust Offline Reinforcement Learning with Human Feedback. | Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic |
| 2025 | AISTATS | Policy Teaching via Data Poisoning in Learning from Human Preferences. | Andi Nika, Jonathan Nther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic |
| 2025 | EDM | Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback. | Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla |
| 2025 | ICSE | Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations. | Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva |
| 2025 | ITiCSE | Prompt Programming: A Platform for Dialogue-based Computational Problem Solving with Generative AI Models. | Victor-Alexandru Padurean, Paul Denny, Alkis Gotovos, Adish Singla |
| 2025 | SIGCSE | Exploring the Impact of Quizzes Interleaved with Write-Code Tasks in Elementary-Level Visual Programming. | Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla |
| 2025 | SIGCSE | BugSpotter: Automated Generation of Code Debugging Exercises. | Victor-Alexandru Padurean, Paul Denny, Adish Singla |
| 2024 | AIED | Task Synthesis for Elementary Visual Programming in XLogoOnline Environment. | Chao Wen, Ahana Ghosh, Jacqueline Staub, Adish Singla |
| 2024 | AISTATS | Corruption-Robust Offline Two-Player Zero-Sum Markov Games. | Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic |
| 2024 | EDM | Leveraging Large Language Models for Next-Generation Educational Technologies. | Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Kser, Eamon Worden |
| 2024 | EDM | Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming. | Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla |
| 2024 | EDM | Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. | Bahar Radmehr, Adish Singla, Tanja Kser |
| 2024 | ICML | Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. | Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla |
| 2024 | IJCAI | Learning Embeddings for Sequential Tasks Using Population of Agents. | Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla |
| 2024 | IJCAI | Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. | Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla |
| 2024 | LAK | Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. | Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, Jos Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares |
| 2024 | SIGCSE | Analyzing-Evaluating-Creating: Assessing Computational Thinking and Problem Solving in Visual Programming Domains. | Ahana Ghosh, Liina Malva, Adish Singla |
| 2023 | AAAI | Online Reinforcement Learning with Uncertain Episode Lengths. | Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar |
| 2023 | AISTATS | Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. | Andi Nika, Adish Singla, Goran Radanovic |
| 2023 | EDM | Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. | Tung Phung, Jos Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares |
| 2023 | ICER | Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. | Tung Phung, Victor-Alexandru Padurean, Jos Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares |
| 2023 | ICER | Evaluating ChatGPT and GPT-4 for Visual Programming. | Adish Singla |
| 2023 | IJCAI | Specifying and Testing k-Safety Properties for Machine-Learning Models. | Maria Christakis, Hasan Ferit Eniser, Jrg Hoffmann, Adish Singla, Valentin Wstholz |
| 2022 | AAAI | Admissible Policy Teaching through Reward Design. | Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic |
| 2022 | AAAI | Bayesian Persuasion in Sequential Decision-Making. | Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla |
| 2022 | AIED | Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. | Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla |
| 2022 | AIES | Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. | Stelios Triantafyllou, Adish Singla, Goran Radanovic |
| 2022 | CONCUR | Sequential Decision Making With Information Asymmetry (Invited Talk). | Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla |
| 2022 | EDM | From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming Tasks. | Adish Singla, Nikitas Theodoropoulos |
| 2022 | EDM | Equity and Fairness of Bayesian Knowledge Tracing. | Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla |
| 2022 | ICDE | On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). | Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla |
| 2021 | AAAI | The Sample Complexity of Teaching by Reinforcement on Q-Learning. | Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2021 | AISTATS | The Teaching Dimension of Kernel Perceptron. | Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen |
| 2021 | EDM | Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State. | Joy He-Yueya, Adish Singla |
| 2020 | EDM | Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis. | Aleksandr Efremov, Ahana Ghosh, Adish Singla |
| 2020 | ICML | Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. | Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla |
| 2020 | ICML | Adaptive Reward-Poisoning Attacks against Reinforcement Learning. | Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2020 | IJCAI | Understanding the Power and Limitations of Teaching with Imperfect Knowledge. | Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla |
| 2020 | WSDM | Can A User Guess What Her Followers Want? | Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez |
| 2019 | AAAI | Iterative Classroom Teaching. | Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher |
| 2019 | AIES | Loss-Aversively Fair Classification. | Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi |
| 2019 | ICML | Learning to Collaborate in Markov Decision Processes. | Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla |
| 2019 | ICML | Efficient learning of smooth probability functions from Bernoulli tests with guarantees. | Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher |
| 2019 | IJCAI | Interactive Teaching Algorithms for Inverse Reinforcement Learning. | Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla |
| 2018 | AAAI | Learning User Preferences to Incentivize Exploration in the Sharing Economy. | Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2018 | AAAI | Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. | Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings |
| 2018 | AAAI | Learning to Interact With Learning Agents. | Adish Singla, Seyed Hamed Hassani, Andreas Krause |
| 2018 | EDM | Data-Driven Approach Towards a Personalized Curriculum. | Michael Backenkhler, Felix Scherzinger, Adish Singla, Verena Wolf |
| 2018 | KDD | A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. | Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar |
| 2018 | WWW | Fake News Detection in Social Networks via Crowd Signals. | Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause |
| 2017 | AAAI | Selecting Sequences of Items via Submodular Maximization. | Sebastian Tschiatschek, Adish Singla, Andreas Krause |
| 2016 | AAAI | Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization. | Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2016 | HCOMP | Learning and Feature Selection under Budget Constraints in Crowdsourcing. | Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann |
| 2016 | HCOMP | Evaluating Task-Dependent Taxonomies for Navigation. | Yuyin Sun, Adish Singla, Tori Qiao Yan, Andreas Krause, Dieter Fox |
| 2016 | ICML | Actively Learning Hemimetrics with Applications to Eliciting User Preferences. | Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2015 | AAAI | Incentivizing Users for Balancing Bike Sharing Systems. | Adish Singla, Marco Santoni, Gbor Bartk, Pratik Mukerji, Moritz Meenen, Andreas Krause |
| 2015 | HCOMP | Crowd Access Path Optimization: Diversity Matters. | Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann |
| 2015 | HCOMP | Learning to Hire Teams. | Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause |
| 2015 | IJCAI | Information Gathering in Networks via Active Exploration. | Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause |
| 2015 | IJCAI | Building Hierarchies of Concepts via Crowdsourcing. | Yuyin Sun, Adish Singla, Dieter Fox, Andreas Krause |
| 2014 | AAAI | Stochastic Privacy. | Adish Singla, Eric Horvitz, Ece Kamar, Ryen White |
| 2014 | CCS | Quantifying Web-Search Privacy. | Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, Vincent Lenders |
| 2014 | HCOMP | Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks. | Gagan Goel, Afshin Nikzad, Adish Singla |
| 2014 | HCOMP | Contextual Procurement in Online Crowdsourcing Markets. | Adish Singla, Ian Lienert, Gbor Bartk, Andreas Krause |
| 2014 | ICML | Near-Optimally Teaching the Crowd to Classify. | Adish Singla, Ilija Bogunovic, Gbor Bartk, Amin Karbasi, Andreas Krause |
| 2014 | WWW | Allocating tasks to workers with matching constraints: truthful mechanisms for crowdsourcing markets. | Gagan Goel, Afshin Nikzad, Adish Singla |
| 2014 | WWW | From devices to people: attribution of search activity in multi-user settings. | Ryen W. White, Ahmed Hassan Awadallah, Adish Singla, Eric Horvitz |
| 2014 | SIGIR | Enhancing personalization via search activity attribution. | Adish Singla, Ryen W. White, Ahmed Hassan Awadallah, Eric Horvitz |
| 2013 | HCOMP | Incentives for Privacy Tradeoff in Community Sensing. | Adish Singla, Andreas Krause |
| 2013 | WWW | Truthful incentives in crowdsourcing tasks using regret minimization mechanisms. | Adish Singla, Andreas Krause |
| 2012 | WSDM | A noise-aware click model for web search. | Weizhu Chen, Dong Wang, Yuchen Zhang, Zheng Chen, Adish Singla, Qiang Yang |
| 2011 | WWW | Finding our way on the web: exploring the role of waypoints in search interaction. | Ryen W. White, Adish Singla |
| 2010 | WWW | Tagging and navigability. | Adish Singla, Ingmar Weber |
| 2010 | WWW | Sampling high-quality clicks from noisy click data. | Adish Singla, Ryen W. White |
| 2010 | SIGIR | Studying trailfinding algorithms for enhanced web search. | Adish Singla, Ryen White, Jeff Huang |
| 2009 | WSDM | Camera brand congruence in the Flickr social graph. | Adish Singla, Ingmar Weber |