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Pradyumna Tambwekar
Pradyumna Tambwekar
Postdoctoral Researcher, Toyota Research Institute
Zweryfikowany adres z tri.global
Tytuł
Cytowane przez
Cytowane przez
Rok
Automated rationale generation: a technique for explainable AI and its effects on human perceptions
U Ehsan, P Tambwekar, L Chan, B Harrison, MO Riedl
Proceedings of the 24th International Conference on Intelligent User …, 2019
3002019
Controllable Neural Story Plot Generation via Reward Shaping
P Tambwekar, M Dhuliawala, LJ Martin, A Mehta, B Harrison, MO Riedl
Proceedings of the 28th International Joint Conference on Artificial …, 2019
149*2019
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers
A Silva, P Tambwekar, M Gombolay
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
732021
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees
P Tambwekar, A Silva, N Gopalan, M Gombolay
IEEE Robotics and Automation Letters, 2023
23*2023
Improvisational storytelling agents
LJ Martin, P Ammanabrolu, X Wang, S Singh, B Harrison, M Dhuliawala, ...
Workshop on Machine Learning for Creativity and Design (NeurIPS 2017), Long …, 2017
222017
Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks
L Dodeja, P Tambwekar, E Hedlund-Botti, M Gombolay
International Journal of Human-Computer Studies 184, 103216, 2024
152024
Towards Balancing Preference and Performance through Adaptive Personalized Explainability
A Silva, P Tambwekar, M Schrum, M Gombolay
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024
92024
Can LLMs Patch Security Issues?
K Alrashedy, A Aljasser, P Tambwekar, M Gombolay
arXiv preprint arXiv:2312.00024, 2023
92023
Towards Reconciling Usability and Usefulness of Policy Explanations for Sequential Decision-Making Systems
P Tambwekar, M Gombolay
Frontiers in Robotics and AI 11, 1375490, 2024
7*2024
Learning to Generate Natural Language Rationales for Game Playing Agents
U Ehsan, P Tambwekar, L Chan, B Harrison, MO Riedl
Joint Proceedings of the AIIDE 2018 Workshops 2282 (122), 1, 2018
42018
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings
A Silva, P Tambwekar, M Gombolay
Findings of the Association for Computational Linguistics: EACL 2023, 2023
32023
Generating CAD Code with Vision-Language Models for 3D Designs
K Alrashedy, P Tambwekar, Z Zaidi, M Langwasser, W Xu, M Gombolay
arXiv preprint arXiv:2410.05340, 2024
12024
Interactive and Explainable Robot Learning: A Comprehensive Review
E Seraj, KM Lee, Z Zaidi, Q Xiao, Z Li, A Nascimento, S van Waveren, ...
Foundations and Trends® in Robotics 12 (2-3), 75-349, 2024
12024
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
P Tambwekar, L Dodeja, N Vaska, W Xu, M Gombolay
Findings of the Association for Computational Linguistics: EMNLP 2023, 12801 …, 2023
1*2023
The Design and Preliminary Results of a User Study Measuring Diverse Explainability Preferences
P Tambwekar, A Silva, M Gombolay
Lifelong Learning and Personalization in Long-Term Human-Robot Interaction …, 2023
12023
On Optimizing Human-Machine Task Assignments
A Dhall, U Dwivedi, S Gupte, SN Sridhar, K Paga, A Pahuja, ...
2015
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