Kausik Lakkaraju

27 papers A* 4C 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs. AAAI Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju, Biplav Srivastava
2026	A*	`conf`	GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation. AAAI Pallav Koppisetti, Nitin Gupta, Kausik Lakkaraju, Biplav Srivastava
2025	J	`jnl`	GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs. CoRR Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju, Biplav Srivastava
2025	J	`jnl`	Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making. CoRR Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava
2025	J	`jnl`	On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. CoRR Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta
2025	J	`jnl`	On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating. CoRR Michael Widener, Kausik Lakkaraju, John Aydin, Biplav Srivastava
2025	—	`conf`	Promoting Nutrition Adherence with Convenience Using Group Recommendations and Multimodal Food Reasoning - Initial Results. ICDM (Workshops) Nitin Gupta, Biplav Srivastava, Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Zach Abdulrahman, Andrew Davison
2025	A*	`conf`	Rating AI Models for Robustness Through a Causal Lens. IJCAI Kausik Lakkaraju
2025	J	`jnl`	SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness. CoRR Biplav Srivastava, Kausik Lakkaraju, Nitin Gupta, Vansh Nagpal, Bharath C. Muppasani, Sara E. Jones
2024	J	`jnl`	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. CoRR Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Nitin Gupta, Zach Abdulrahman, Andrew Davison, Biplav Srivastava
2024	J	`jnl`	Advances in automatically rating the trustworthiness of text processing services. AI Ethics Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
2024	J	`jnl`	BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes. CoRR Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Biplav Srivastava
2024	J	`jnl`	Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta
2024	J	`jnl`	The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias. CoRR Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
2024	J	`jnl`	Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. CoRR Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matthew Irvin, Ashish Kundu
2023	J	`jnl`	Advances in Automatically Rating the Trustworthiness of Text Processing Services. CoRR Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
2023	J	`jnl`	Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes. CoRR Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava
2023	J	`jnl`	Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems. CoRR Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi
2023	—	`conf`	LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making. ICAIF Kausik Lakkaraju, Sara E. Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C. Muppasani, Biplav Srivastava
2023	J	`jnl`	On safe and usable chatbots for promoting voter participation. AI Mag. Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan
2023	J	`jnl`	Rating Sentiment Analysis Systems for Bias through a Causal Lens. CoRR Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
2023	—	`conf`	The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias. TPS-ISA Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
2022	J	`jnl`	A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. CoRR Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava
2022	A*	`conf`	ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. AAAI Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu
2022	—	`conf`	Data-Based Insights for the Masses: Scaling Natural Language Querying to Middleware Data. DASFAA (3) Kausik Lakkaraju, Vinamra Palaiya, Sai Teja Paladi, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
2022	J	`jnl`	On Safe and Usable Chatbots for Promoting Voter Participation. CoRR Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan
2022	C	`conf`	Why is my System Biased?: Rating of AI Systems through a Causal Lens. AIES Kausik Lakkaraju