Learning Unknown Groundings for Natural Language Interaction with Mobile Robots. - Mycal Tucker; Derya Aksaray; Rohan Paul; Gregory J. Stein; Nicholas Roy (ISRR, 2017)

Adversarially Guided Self-Play for Adopting Social Conventions. - Mycal Tucker; Yilun Zhou; Julie Shah (CoRR, 2020)

What if This Modified That? Syntactic Interventions with Counterfactual Embeddings. - Mycal Tucker; Peng Qian; Roger Levy (ACL/IJCNLP (Findings), 2021)

Emergent Discrete Communication in Semantic Spaces. - Mycal Tucker; Huao Li; Siddharth Agrawal; Dana Hughes 001; Katia P. Sycara; Michael Lewis 001; Julie A. Shah (NeurIPS, 2021)

What if This Modified That? Syntactic Interventions via Counterfactual Embeddings. - Mycal Tucker; Peng Qian; Roger Levy (CoRR, 2021)

Prototype Based Classification from Hierarchy to Fairness. - Mycal Tucker; Julie A. Shah (ICML, 2022)

When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. - Mycal Tucker; Tiwalayo Eisape; Peng Qian; Roger Levy; Julie Shah (NAACL-HLT, 2022)

Trading off Utility, Informativeness, and Complexity in Emergent Communication. - Mycal Tucker; Roger Levy; Julie A. Shah; Noga Zaslavsky (NeurIPS, 2022)

The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. - Seth Karten; Siddharth Agrawal; Mycal Tucker; Dana Hughes 001; Michael Lewis 001; Julie Shah; Katia P. Sycara (CoRR, 2022)

Probe-Based Interventions for Modifying Agent Behavior. - Mycal Tucker; William Kuhl; Khizer Shahid; Seth Karten; Katia P. Sycara; Julie Shah (CoRR, 2022)

Towards Human-Agent Communication via the Information Bottleneck Principle. - Mycal Tucker; Julie Shah; Roger Levy; Noga Zaslavsky (CoRR, 2022)

Latent Space Alignment Using Adversarially Guided Self-Play. - Mycal Tucker; Yilun Zhou; Julie A. Shah (Int. J. Hum. Comput. Interact., 2022)

Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. - Eoin M. Kenny; Mycal Tucker; Julie Shah (ICLR, 2023)

Towards True Lossless Sparse Communication in Multi-Agent Systems. - Seth Karten; Mycal Tucker; Siva Kailas; Katia P. Sycara (ICRA, 2023)

Human-Guided Complexity-Controlled Abstractions. - Andi Peng; Mycal Tucker; Eoin M. Kenny; Noga Zaslavsky; Pulkit Agrawal 001; Julie A. Shah (NeurIPS, 2023)

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff. - Lindsay Sanneman; Mycal Tucker; Julie Shah (CoRR, 2023)

Interpretable Learned Emergent Communication for Human-Agent Teams. - Seth Karten; Mycal Tucker; Huao Li; Siva Kailas; Michael Lewis 001; Katia P. Sycara (IEEE Trans. Cogn. Dev. Syst., 2023)

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI. - Lindsay Sanneman; Mycal Tucker; Julie A. Shah (FAccT, 2024)

Bridging semantics and pragmatics in information-theoretic emergent communication. - Eleonora Gualdoni; Mycal Tucker; Roger Levy; Noga Zaslavsky (NeurIPS, 2024)