| LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making K Lakkaraju, SE Jones, SKR Vuruma, V Pallagani, BC Muppasani, ... Proceedings of the Fourth ACM International Conference on AI in Finance, 100-107, 2023 | 18 | 2023 |
| Can llms be good financial advisors?: An initial study in personal decision making for optimized outcomes K Lakkaraju, SKR Vuruma, V Pallagani, B Muppasani, B Srivastava arXiv preprint arXiv:2307.07422, 2023 | 18 | 2023 |
| Rating sentiment analysis systems for bias through a causal lens K Lakkaraju, B Srivastava, M Valtorta IEEE Transactions on Technology and Society, 2024 | 5 | 2024 |
| Advances in automatically rating the trustworthiness of text processing services B Srivastava, K Lakkaraju, M Bernagozzi, M Valtorta AI and Ethics 4 (1), 5-13, 2024 | 5 | 2024 |
| A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process V Pallagani, P Ramamurthy, V Khandelwal, R Venkataramanan, ... arXiv preprint arXiv:2203.17109, 2022 | 5 | 2022 |
| On safe and usable chatbots for promoting voter participation B Muppasani, V Pallagani, K Lakkaraju, S Lei, B Srivastava, B Robertson, ... AI Magazine 44 (3), 240-247, 2023 | 4 | 2023 |
| Allure: A multi-modal guided environment for helping children learn to solve a rubik’s cube with automatic solving and interactive explanations K Lakkaraju, T Hassan, V Khandelwal, P Singh, C Bradley, R Shah, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13185 …, 2022 | 4 | 2022 |
| Why is my system biased?: Rating of ai systems through a causal lens K Lakkaraju Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 902-902, 2022 | 2 | 2022 |
| Data-Based Insights for the Masses: Scaling Natural Language Querying to Middleware Data L Kausik, P Vinamra, P Sai Teja, A Chinmayi, S Biplav, J Lokesh Lecture Notes in Computer Science 13247, 527 - 531, 2022 | 2* | 2022 |
| Robust useful and general task-oriented virtual assistants B Srivastava, K Lakkaraju, R Venkataramanan, V Pallagani, ... US Patent 12,067,983, 2024 | 1 | 2024 |
| The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias K Lakkaraju, A Gupta, B Srivastava, M Valtorta, D Wu 2023 5th IEEE International Conference on Trust, Privacy and Security in …, 2023 | 1 | 2023 |
| Solving the Rubik’s Cube with a PDDL Planner B Muppasani, V Pallagani, B Srivastava ICAPS 2024 System's Demonstration track, 2022 | 1 | 2022 |
| Explainable Pathfinding for Inscrutable Planners with Inductive Logic Programming F Agostinelli, R Panta, V Khandelwal, B Srivastava, BC Muppasani, ... ICAPS 2022 Workshop on Explainable AI Planning, 2022 | 1 | 2022 |
| ElectionBot-SC: A Tool to Understand and Compare Chatbot Behavior for Safe Election Information in South Carolina B Muppasani, K Lakkaraju, N Gupta, V Nagpal, S Jones, B Srivastava | | 2025 |
| BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes V Nagpal, SL Valluru, K Lakkaraju, B Srivastava arXiv preprint arXiv:2406.13714, 2024 | | 2024 |
| Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens K Lakkaraju, R Kaur, Z Zeng, P Zehtabi, S Patra, B Srivastava, M Valtorta arXiv preprint arXiv:2406.12908, 2024 | | 2024 |
| Multimodal retrieval and execution monitoring using rich recipe representation B Srivastava, V Pallagani, RC Venka, V Khandelwal, K Lakkaraju US Patent App. 18/455,730, 2024 | | 2024 |
| Assigning trust rating to ai services using causal impact analysis B Srivastava, K Lakkaraju, M Valtorta US Patent App. 18/448,369, 2024 | | 2024 |
| Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube K Lakkaraju, V Khandelwal, B Srivastava, F Agostinelli, H Tang, P Singh, ... arXiv preprint arXiv:2402.01760, 2024 | | 2024 |
| Evaluating Chatbots to Promote Users' Trust--Practices and Open Problems B Srivastava, K Lakkaraju, T Koppel, V Narayanan, A Kundu, S Joshi arXiv preprint arXiv:2309.05680, 2023 | | 2023 |
Biplav SrivastavaUniversity of South CarolinaVerified email at sc.edu