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Biplav Srivastava

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The Case for Developing a Foundation Model for Planning-like Tasks from Scratch

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Apr 06, 2024
Biplav Srivastava, Vishal Pallagani

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From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges

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Feb 26, 2024
Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava

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Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube

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Jan 30, 2024
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu

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The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias

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Jan 15, 2024
Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu

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On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)

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Jan 04, 2024
Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit Sheth

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On Learning with LAD

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Sep 28, 2023
C. A. Jothishwaran, Biplav Srivastava, Jitin Singla, Sugata Gangopadhyay

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Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals

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Sep 27, 2023
Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan

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Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems

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Sep 14, 2023
Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi

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On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations

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Jul 25, 2023
Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli

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A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency

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Jul 25, 2023
Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan

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