| 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 | 56 | 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 | 21 | 2023 |
| 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 | 16 | 2024 |
| Rating sentiment analysis systems for bias through a causal lens K Lakkaraju, B Srivastava, M Valtorta IEEE Transactions on Technology and Society 5 (1), 82-92, 2024 | 13 | 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 | 12 | 2024 |
| Can LLMs be good financial advisors K Lakkaraju, SKR Vuruma, V Pallagani, B Muppasani, B Srivastava An initial study in personal decision making for optimized outcomes. ArXiv …, 2023 | 11 | 2023 |
| 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 | 10 | 2023 |
| 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 | 10 | 2022 |
| 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 | 9 | 2022 |
| 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 | 6 | 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 | 6 | 2023 |
| On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series K Lakkaraju, R Kaur, P Zehtabi, S Patra, SL Valluru, Z Zeng, B Srivastava, ... arXiv preprint arXiv:2502.12226, 2025 | 5 | 2025 |
| 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 | 5 | 2023 |
| 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 | 4 | 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 | 4 | 2022 |
| A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON V Nagpal, SL Valluru, K Lakkaraju, N Gupta, Z Abdulrahman, A Davison, ... arXiv preprint arXiv:2412.17910, 2024 | 3 | 2024 |
| Robust useful and general task-oriented virtual assistants B Srivastava, K Lakkaraju, R Venkataramanan, V Pallagani, ... US Patent 12,067,983, 2024 | 3 | 2024 |
| 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 | 3* | 2022 |
| Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making K Lakkaraju, SL Valluru, B Srivastava arXiv preprint arXiv:2508.05792, 2025 | 2 | 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 | 2 | 2024 |
Biplav SrivastavaUniversity of South CarolinaVerified email at sc.edu
Biplav SrivastavaUniversity of South CarolinaVerified email at sc.edu