Pradyumna Tambwekar

26 papers A* 3A 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Strengths and Weaknesses of Data for Open-set Embodied Assistance. CoRR Pradyumna Tambwekar, Andrew Silva, Deepak Edakkattil Gopinath, Jonathan A. DeCastro, Xiongyi Cui, Guy Rosman
2026	J	`jnl`	PrefPO: Pairwise Preference Prompt Optimization. CoRR Rahul Singhal, Pradyumna Tambwekar, Karime Maamari
2025	J	`jnl`	Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided Search. CoRR Kamel Alrashedy, Vriksha Srihari, Zulfiqar Zaidi, Ridam Srivastava, Pradyumna Tambwekar, Matthew Gombolay
2025	A*	`conf`	Generating CAD Code with Vision-Language Models for 3D Designs. ICLR Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay
2025	J	`jnl`	Leveraging Static Analysis for Feedback-Driven Security Patching in LLM-Generated Code. J. Cybersecur. Priv. Kamel Alrashedy, Abdullah Aljasser, Pradyumna Tambwekar, Matthew Gombolay
2025	J	`jnl`	Towards Balancing Preference and Performance through Adaptive Personalized Explainability. CoRR Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
2024	J	`jnl`	Generating CAD Code with Vision-Language Models for 3D Designs. CoRR Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay
2024	J	`jnl`	Interactive and Explainable Robot Learning: A Comprehensive Review. Found. Trends Robotics Esmaeil Seraj, Kin Man Lee, Zulfiqar Zaidi, Qingyu Xiao, Zhaoxin Li, Arthur Nascimento, Sanne van Waveren, Pradyumna Tambwekar, Rohan R. Paleja, Devleena Das, Matthew C. Gombolay
2024	A*	`conf`	Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
2024	J	`jnl`	Towards reconciling usability and usefulness of policy explanations for sequential decision-making systems. Frontiers Robotics AI Pradyumna Tambwekar, Matthew C. Gombolay
2024	J	`jnl`	Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. Int. J. Hum. Comput. Stud. Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay
2023	—	`conf`	A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. EMNLP (Findings) Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew C. Gombolay
2023	—	`conf`	FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2023	J	`jnl`	Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2023	J	`jnl`	Towards Reconciling Usability and Usefulness of Explainable AI Methodologies. CoRR Pradyumna Tambwekar, Matthew C. Gombolay
2023	J	`jnl`	Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. CoRR Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay
2022	J	`jnl`	Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. CoRR Pradyumna Tambwekar, Nathan Vaska, Lakshita Dodeja, Matthew C. Gombolay
2022	J	`jnl`	FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2021	J	`jnl`	Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2021	—	`conf`	Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2019	J	`jnl`	Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. CoRR Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
2019	A	`conf`	Automated rationale generation: a technique for explainable AI and its effects on human perceptions. IUI Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
2019	A*	`conf`	Controllable Neural Story Plot Generation via Reward Shaping. IJCAI Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl
2018	J	`jnl`	Controllable Neural Story Generation via Reinforcement Learning. CoRR Pradyumna Tambwekar, Murtaza Dhuliawala, Animesh Mehta, Lara J. Martin, Brent Harrison, Mark O. Riedl
2018	—	`conf`	Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
2015	J	`jnl`	On Optimizing Human-Machine Task Assignments. CoRR Andreas Veit, Michael J. Wilber, Rajan Vaish, Serge J. Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Pradyumna Tambwekar, Rashida Taskin, Ankit Tripathi, Anurag D. Yadav