Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. - Rebecca Sharp; Adarsh Pyarelal; Benjamin M. Gyori; Keith Alcock; Egoitz Laparra; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Vikas Yadav; John A. Bachman; Zheng Tang; Heather C. Lent; Fan Luo; et al. (NAACL-HLT (Demonstrations), 2019)

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions. - Maria Alexeeva; Rebecca Sharp; Marco Antonio Valenzuela-Escárcega; Jennifer Kadowaki; Adarsh Pyarelal; Clayton T. Morrison (LREC, 2020)

AutoMATES: Automated Model Assembly from Text, Equations, and Software. - Adarsh Pyarelal; Marco Antonio Valenzuela-Escárcega; Rebecca Sharp; Paul Douglas Hein; Jon Stephens; Pratik Bhandari; HeuiChan Lim; Saumya Debray; Clayton T. Morrison (CoRR, 2020)

Modular Procedural Generation for Voxel Maps. - Adarsh Pyarelal; Aditya Banerjee; Kobus Barnard (ToM for Teams, 2021)

Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time. - Liang Zhang 018; Justin Lieffers; Adarsh Pyarelal (ToM for Teams, 2021)

Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time. - Liang Zhang; Justin Lieffers; Adarsh Pyarelal (CoRR, 2022)

Deep Reinforcement Learning with Vector Quantized Encoding. - Liang Zhang; Justin Lieffers; Adarsh Pyarelal (CoRR, 2022)

Multi-Timescale Modeling of Human Behavior. - Chinmai Basavaraj; Adarsh Pyarelal; Evan Carter (CoRR, 2022)

Hierarchical Fusion for Online Multimodal Dialog Act Classification. - Md Messal Monem Miah; Adarsh Pyarelal; Ruihong Huang (EMNLP (Findings), 2023)

Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification. - Ayesha Qamar; Adarsh Pyarelal; Ruihong Huang (EMNLP (Findings), 2023)

The ToMCAT Dataset. - Adarsh Pyarelal; Eric Duong; Caleb Shibu; Paulo Soares; Savannah Boyd; Payal Khosla; Valeria A. Pfeifer; Diheng Zhang; Eric Andrews; Rick Champlin; Vincent Raymond; Meghavarshini Krishnaswamy; et al. (NeurIPS, 2023)

Probabilistic Modeling of Human Teams to Infer False Beliefs. - Paulo Soares; Adarsh Pyarelal; Kobus Barnard (CoRR, 2023)

When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. - Enrique Noriega-Atala; Robert Vacareanu; Salena Torres Ashton; Adarsh Pyarelal; Clayton T. Morrison; Mihai Surdeanu (EMNLP (Findings), 2024)

Probabilistic Modeling of Interpersonal Coordination Processes. - Paulo Soares; Adarsh Pyarelal; Meghavarshini Krishnaswamy; Emily Butler; Kobus Barnard (ICML, 2024)

Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games. - Liang Zhang 018; Justin Lieffers; Adarsh Pyarelal (CoRR, 2024)

Variable Extraction for Model Recovery in Scientific Literature. - Chunwei Liu; Enrique Noriega-Atala; Adarsh Pyarelal; Clayton T. Morrison; Mike Cafarella (CoRR, 2024)

MultiCAT: Multimodal Communication Annotations for Teams. - Adarsh Pyarelal; John Culnan; Ayesha Qamar; Meghavarshini Krishnaswamy; Yuwei Wang; Cheonkam Jeong; Chen Chen; Md Messal Monem Miah; Shahriar Hormozi; Jonathan Tong; Ruihong Huang (NAACL (Findings), 2025)