Pradyumna Tambwekar

Orcid: 0000-0003-2931-2502

According to our database1, Pradyumna Tambwekar authored at least 15 papers between 2015 and 2024.

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Bibliography

2024
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks.
Int. J. Hum. Comput. Stud., April, 2024

Towards Balancing Preference and Performance through Adaptive Personalized Explainability.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees.
IEEE Robotics Autom. Lett., June, 2023

Towards Reconciling Usability and Usefulness of Explainable AI Methodologies.
CoRR, 2023

A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings.
CoRR, 2022

Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play.
CoRR, 2022

2021
Interpretable Policy Specification and Synthesis through Natural Language and RL.
CoRR, 2021

Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019
Automated rationale generation: a technique for explainable AI and its effects on human perceptions.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Controllable Neural Story Plot Generation via Reward Shaping.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Controllable Neural Story Generation via Reinforcement Learning.
CoRR, 2018

Learning to Generate Natural Language Rationales for Game Playing Agents.
Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018

2015
On Optimizing Human-Machine Task Assignments.
CoRR, 2015


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