Learning Science by Constructing Models: Can Dragoon Increase Learning without Increasing the Time Required? - Kurt VanLehn; Gregory K. W. K. Chung; Sachin Grover; Ayesha Madni; Jon Wetzel (Int. J. Artif. Intell. Educ., 2016)

Texture Synthesis with Recurrent Variational Auto-Encoder. - Rohan Chandra; Sachin Grover; Kyungjun Lee 001; Moustafa Meshry; Ahmed Taha 001 (CoRR, 2017)

The design and development of the dragoon intelligent tutoring system for model construction: lessons learned. - Jon Wetzel; Kurt VanLehn; Dillan Butler; Pradeep Chaudhari; Avaneesh Desai; Jingxian Feng; Sachin Grover; Reid Joiner; Mackenzie Kong-Sivert; Vallabh Patade; Ritesh Samala; Megha Tiwari; et al. (Interact. Learn. Environ., 2017)

Learning How to Construct Models of Dynamic Systems: An Initial Evaluation of the Dragoon Intelligent Tutoring System. - Kurt VanLehn; Jon Wetzel; Sachin Grover; Brett van de Sande (IEEE Trans. Learn. Technol., 2017)

How Should Knowledge Composed of Schemas be Represented in Order to Optimize Student Model Accuracy? - Sachin Grover; Jon Wetzel; Kurt VanLehn (AIED (1), 2018)

Plan Explanations as Model Reconciliation - An Empirical Study. - Tathagata Chakraborti; Sarath Sreedharan; Sachin Grover; Subbarao Kambhampati (CoRR, 2018)

Plan Explanations as Model Reconciliation. - Tathagata Chakraborti; Sarath Sreedharan; Sachin Grover; Subbarao Kambhampati (HRI, 2019)

The Long Tail: Understanding the Discoverability of API Functionality. - Amber Horvath; Sachin Grover; Sihan Dong; Emily Zhou; Finn Voichick; Mary Beth Kery; Shwetha Shinju; Daye Nam; Mariann Nagy; Brad A. Myers (VL/HCC, 2019)

BEEF: Balanced English Explanations of Forecasts. - Sachin Grover; Chiara Pulice; Gerardo I. Simari; V. S. Subrahmanian (IEEE Trans. Comput. Soc. Syst., 2019)

Model Elicitation through Direct Questioning. - Sachin Grover; David E. Smith 001; Subbarao Kambhampati (CoRR, 2020)

RADAR: automated task planning for proactive decision support. - Sachin Grover; Sailik Sengupta; Tathagata Chakraborti; Aditya Prasad Mishra; Subbarao Kambhampati (Hum. Comput. Interact., 2020)

COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India. - Mayank Agarwal; Tathagata Chakraborti; Sachin Grover (CoRR, 2021)

Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment. - Donghoon Shin; Sachin Grover; Kenneth Holstein; Adam Perer (CoRR, 2021)

Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data. - Fuchiang (Rich) Tsui; Victor Ruiz; Sachin Grover; Lingyun Shi; Allan F. Simpao; Michael Goldstein (AMIA, 2022)

Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations. - Russell Richie; Sachin Grover; Fuchiang (Rich) Tsui (BioNLP@ACL, 2022)

Heuristic Search for Physics-Based Problems: Angry Birds in PDDL+. - Wiktor Piotrowski; Yoni Sher; Sachin Grover; Roni Stern; Shiwali Mohan (ICAPS, 2023)

Heuristic Search for Physics-Based Problems: Angry Birds in PDDL+ [Extended Abstract]. - Wiktor Piotrowski; Yoni Sher; Sachin Grover; Roni Stern; Shiwali Mohan (SOCS, 2023)

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds. - Shiwali Mohan; Wiktor Piotrowski; Roni Stern; Sachin Grover; Sookyung Kim; Jacob Le; Johan de Kleer (CoRR, 2023)

A domain-independent agent architecture for adaptive operation in evolving open worlds. - Shiwali Mohan; Wiktor Piotrowski; Roni Stern; Sachin Grover; Sookyung Kim; Jacob Le; Yoni Sher; Johan de Kleer (Artif. Intell., 2024)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)