Adarsh Pyarelal

19 papers A* 2B 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
MultiCAT: Multimodal Communication Annotations for Teams.
NAACL (Findings)
Adarsh Pyarelal, John Culnan, Ayesha Qamar, Meghavarshini Krishnaswamy, Yuwei Wang, Cheonkam Jeong, Chen Chen, Md Messal Monem Miah, Shahriar Hormozi, Jonathan Tong, Ruihong Huang
2024 J jnl
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games.
CoRR
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2024 A* conf
Probabilistic Modeling of Interpersonal Coordination Processes.
ICML
Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard
2024 J jnl
Variable Extraction for Model Recovery in Scientific Literature.
CoRR
Chunwei Liu, Enrique Noriega-Atala, Adarsh Pyarelal, Clayton T. Morrison, Mike Cafarella
2024 — conf
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.
EMNLP (Findings)
Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu
2024 J jnl
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.
CoRR
Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu
2023 — conf
Hierarchical Fusion for Online Multimodal Dialog Act Classification.
EMNLP (Findings)
Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang
2023 J jnl
Probabilistic Modeling of Human Teams to Infer False Beliefs.
CoRR
Paulo Soares, Adarsh Pyarelal, Kobus Barnard
2023 A* conf
The ToMCAT Dataset.
NeurIPS
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, Clayton T. Morrison, Emily Butler, Kobus Barnard
2023 — conf
Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification.
EMNLP (Findings)
Ayesha Qamar, Adarsh Pyarelal, Ruihong Huang
2022 J jnl
Deep Reinforcement Learning with Vector Quantized Encoding.
CoRR
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2022 J jnl
Multi-Timescale Modeling of Human Behavior.
CoRR
Chinmai Basavaraj, Adarsh Pyarelal, Evan Carter
2022 J jnl
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time.
CoRR
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2021 — conf
Modular Procedural Generation for Voxel Maps.
ToM for Teams
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
2021 J jnl
Modular Procedural Generation for Voxel Maps.
CoRR
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
2021 — conf
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time.
ToM for Teams
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2020 J jnl
AutoMATES: Automated Model Assembly from Text, Equations, and Software.
CoRR
Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
2020 B conf
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.
LREC
Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison
2019 — conf
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.
NAACL-HLT (Demonstrations)
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, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu