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Kausik Lakkaraju
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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
62023
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
42022
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
42022
Rating sentiment analysis systems for bias through a causal lens
K Lakkaraju, B Srivastava, M Valtorta
IEEE Transactions on Technology and Society, 2024
32024
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
32024
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
22023
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
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
12023
Robust useful and general task-oriented virtual assistants
B Srivastava, K Lakkaraju, R Venkataramanan, V Pallagani, ...
US Patent App. 17/714,508, 2022
12022
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
12022
ROSE: Tool and Data ResOurces to Explore the Instability of SEntiment Analysis Systems
G MUNDADA, K LAKKARAJU, B SRIVASTAVA
Research Gate 2, 2022
12022
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
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
2023
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
CREDIBLE ELECTIONS
B Srivastava, A Nikolich, T Koppel, P Deepak, S Simoes, M MacCarthaigh, ...
AI Magazine 44 (3), 2023
2023
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
2022
A Rich Recipe Representation as Plan to Support Expressive Multi-Modal Queries on Recipe Content and Preparation Process
VPP Ramamurthy, VKR Venkataramanan, K Lakkaraju, SN Aakur, ...
2022
A Multi-Modal Decision Support System with Allergy-Aware Recipe Understanding Powered by a Plan Representation
V Khandelwal, K Lakkaraju, V Pallagani, P Ramamurthy, ...
2022
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