Kausik Lakkaraju

According to our database, Kausik Lakkaraju authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making.

Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava

CoRR, August, 2025

SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness.

Biplav Srivastava, Kausik Lakkaraju, Nitin Gupta, Vansh Nagpal, Bharath C. Muppasani, Sara E. Jones

CoRR, April, 2025

On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series.

Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta

CoRR, February, 2025

2024

Advances in automatically rating the trustworthiness of text processing services.

Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta

AI Ethics, February, 2024

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.

Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Nitin Gupta, Zach Abdulrahman, Andrew Davison, Biplav Srivastava

CoRR, 2024

BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes.

Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Biplav Srivastava

CoRR, 2024

Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens.

Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta

CoRR, 2024

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

Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matthew Irvin, Ashish Kundu

CoRR, 2024

2023

On safe and usable chatbots for promoting voter participation.

Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan

AI Mag., September, 2023

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

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

CoRR, 2023

Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes.

Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava

CoRR, 2023

Rating Sentiment Analysis Systems for Bias through a Causal Lens.

Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta

CoRR, 2023

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

Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu

Proceedings of the 5th IEEE International Conference on Trust, 2023

LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making.

Kausik Lakkaraju, Sara E. Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C. Muppasani, Biplav Srivastava

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process.

Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava

CoRR, 2022

Data-Based Insights for the Masses: Scaling Natural Language Querying to Middleware Data.

Kausik Lakkaraju, Vinamra Palaiya, Sai Teja Paladi, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri

Proceedings of the Database Systems for Advanced Applications, 2022

Why is my System Biased?: Rating of AI Systems through a Causal Lens.

Kausik Lakkaraju

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations.

Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022