2026

• ARC: A Tool to Rate AI Models for Robustness Through a Causal Lens for Enabling Trustworthy Model Selection
  The ACM Web Conference, Dubai, United Arab Emirates, April 2026
  Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava, Marco Valtorta
  [Paper] [Video] Demo Trust Rating
  
• GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
  Proceedings of the Thirty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI/AAAI 2026), Singapore, January 2026 (Evaluation, LLMs, AR=19%)
  Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju, Biplav Srivastava
  [Paper] Conference Trust Rating
  
  GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation
  Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence - Demonstrations Track (AAAI-26 Demo), Singapore, January 2026 (AR=27%)
  Pallav Koppisetti, Nitin Gupta, Kausik Lakkaraju, Biplav Srivastava
  [Paper] [Video] [Poster] Demo Trust Rating
  

  
• Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs
  Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence - Demonstrations Track (AAAI-26 Demo), Singapore, January 2026 (AR=27%)
  Riju Marwah, Vishal Pallagani, Ritvik Garimella, Amit Sheth
  [Paper] [Video] Demo
  
• OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding
  Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence - Demonstrations Track (AAAI-26 Demo), Singapore, January 2026 (AR=27%)
  Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan
  [Paper] [Video] [Poster] Demo Automated Planning Ontology Dynamical Systems
  

  

2025

• On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
  AAAI2025 Fall Symposium on AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC), Arlington, VA, USA, Nov 2025 (Time-Series, XAI)
  Michael Widener, Kausik Lakkaraju, John Aydin, Biplav Srivastava
  [Paper] Conference Trust Rating
  
• Revisiting LLMs in Planning from Literature Review: a Semi-Automated Analysis Approach and Evolving Categories Representing Shifting Perspectives,
  Proceedings of the 35th International Conference on Automated Planning and Scheduling (ICAPS), 2025, Melbourne, Australia, Nov 2025 (Planning, LLMs, AR=22.8%)
  Vishal Pallagani, Nitin Gupta, Bharath Chandra Muppasani, Biplav Srivastava,
  [Paper] [Visualization Tool] [LinkedIn Post] Conference Neuro-Symbolic AI Automated Planning
  
• PROMISE - PROMoting AI’s Safe usage for Elections
  Publisher: Springer Nature, Oct 2025
  Editors: Biplav Srivastava, Anita Nikolich, Andrea Hickerson, Tarmo Koppel
  [Book] Book Elections Chatbots Trust Rating
  
• Fast, Slow, and Metacognitive Thinking in AI,
  npj Artificial Intelligence, Oct 2025
  Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, K. Brent Venable,
  Journal Neuro-Symbolic AI
  
• Technology-assisted Personalized Yoga for Better Health - Challenges and Outlook
  Preprint, August 2025
  Vivek Kumar, Himanshu Sahu, Hari Prabhat Gupta, Biplav Srivastava
  [Paper] Preprint Health Recommender Systems
  
• Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
  Preprint, August 2025
  Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava
  [Paper] Preprint Trust Rating
  
• Thinking Fast and Slow in Human and Machine Intelligence,
  Communications of the ACM, July 2025 (AI, Cognitive Architectures, IF=22.7)
  Francesco Fabiano, Marianna B. Ganapini, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, K. Brent Venable,
  [Paper] Journal Neuro-Symbolic AI Automated Planning
  
• Building a Planning Ontology to Represent and Exploit Planning Knowledge and Its Applications
  Discov Data 3, 55 (2025)
  Bharath Muppasani, Nitin Gupta, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns and Vignesh Narayanan
  [Paper] [Website] Journal Automated Planning Ontology
  
• FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
  Preprint, May 2025
  Vishal Pallagani, Nitin Gupta, John Aydin, Biplav Srivastava
  [Paper] Preprint Automated Planning Data Analysis Chatbots
  
• Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation
  TrustNLP workshop at Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025), Albuquerque, USA, May 2025
  Vipula Rawte, Deja N Scott, Gaurav Kumar, Aishneet Juneja, Bharat Sowrya Yaddanapalli, Biplav Srivastava,
  [Paper] Workshop Data Analysis Elections
  
• SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
  Preprint, April 2025
  Biplav Srivastava, Kausik Lakkaraju, Nitin Gupta, Vansh Nagpal, Bharath C. Muppasani, Sara E. Jones
  [Paper] Preprint Chatbots Elections Health Finance
  
• A Vision for Reinventing Credible Elections with Artificial Intelligence
  Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, USA, Feb 2025
  Biplav Srivastava
  [Paper] [Slides] Conference Elections
  
• Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data
  Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, USA, Feb 2025
  Nitin Gupta, Bharath Muppasani, Saina Srivastava, Aarohi Goel, Ross Hartfield, Todd Buehrig, Melissa Reck, Emma Kennedy, Kevin Poore, Karilyn Tremblay, Biplav Srivastava, Lucas Vasconcelos
  [Paper] [Poster] Conference Data Analysis Traffic
  

  
• On Generalized Planning for Controlling Opinion Networks: Interpreting Human-AI Dialog States and Beliefs
  Generalized Planning Workshop at the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, USA, Feb 2025
  Bharath Muppasani, Protik Nag, Biplav Srivastava, Vignesh Narayanan
  [Paper] Workshop Automated Planning
  
• Disseminating Authentic Public Messages using Chatbots - A Case Study with ElectionBot-SC to Understand and Compare Chatbot Behavior for Safe Election Information in South Carolina
  AI for Public Mission Workshop at the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, USA, Feb 2025
  Nitin Gupta, Vansh Nagpal, Bharath Muppasani, Kausik Lakkaraju, Sara Jones, Biplav Srivastava
  [Paper] Workshop Chatbots Elections
  
• On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series
  Preprint, February 2025
  Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta
  [Paper] Preprint Trust Rating Finance
  

2024

• Building a Plan Ontology to Represent and Exploit Planning Knowledge and Its Applications
  Eighth International Conference on Data Science and Management of Data (CODS-COMAD '24), India, 2024.
  Bharath Muppasani, Nitin Gupta, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns and Vignesh Narayanan
  [Paper] [Website] Conference Automated Planning Ontology
  
• Towards Effective Planning Strategies for Dynamic Opinion Networks
  Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, 2024 (Info Spread, AR=25.8%)
  Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns
  [Paper] [Poster] Conference Dynamical Systems Automated Planning
  

  
• 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
  Preprint, Dec 2024
  Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Nitin Gupta, Zach Abdulrahman, Andrew Davison, Biplav Srivastava
  [Paper] Preprint Data Analysis Recommender Systems Health
  
• AI-Assisted Research Collaboration with Open Data for Fair and Effective Response to Call for Proposals
  AAAI AI Magazine
  Siva Likitha Valluru, Michael Widener, Biplav Srivastava, Sriraam Natarajan, Sugata Gangopadhyay
  [Paper] Data Analysis Recommender Systems
  
• BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes
  
  Preprint, June 2024
  Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Biplav Srivastava
  [Paper] Preprint Data Analysis Recommender Systems Health
  
• Comparing Rubik's Cube Solvability in Domain-Independent Planners Using Standard Planning Representations for Insights and Synergy with Upcoming Learning Methods
  Heuristics and Search for Domain-Independent Planning (HSDIP) Workshop at ICAPS 2024
  Bharath Muppasani, Vishal Pallagani, Biplav Srivastava and Forest Agostinelli
  [Paper] [Slides] Workshop Automated Planning
  
• The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
  Planning and Reinforcement Learning (PRL) Workshop at ICAPS 2024
  Biplav Srivastava, Vishal Pallagani
  [Paper] Workshop Automated Planning
  
• Solving the Rubik's Cube with a PDDL Planner
  Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS) - Demonstration Track (ICAPS-24 Demo)
  Bharath Muppasani, Vishal Pallagani and Biplav Srivastava
  [Paper] [Poster] [Video] Demo Automated Planning
  
• Rating Sentiment Analysis Systems for Bias through a Causal Lens
  IEEE Transactions on Technology and Society (IF=5.2)
  Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
  [Paper] Journal Trust Rating
  
• Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
  Deployed Application paper in the Proceedings of the Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-24) (AR=31%)
  Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan
  [Paper] [Poster] Conference Recommender Systems Deployed Application Award at AAAI/IAAI-24
  

  
• Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
  Proceedings of the Thirty-Eighth Annual Conference of Association for Advancement of Artificial Intelligence - Demonstrations Track (AAAI-24 Demo)
  Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns
  [Paper] [Poster] [Video] Demo Automated Planning Best Demo at AAAI-24

  
• ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals
  Proceedings of the 7th Joint International Conference on Data Science & Management of Data (CODS-COMAD) Demonstration Track, 2024(AR=50%)
  Siva Likitha Valluru, Michael Widener, Biplav Srivastava, Sugata Gangopadhyay
  [Paper] Demo Recommender Systems
  
• On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
  Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS), 2024 (AR = 21.64%)
  Vishal Pallagani, Bharath Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit Sheth
  [Paper] Conference Automated Planning Neuro-Symbolic AI
  
• From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
  Artificial Intelligence for Design Problems Bridge Program at AAAI, 2024
  Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava
  [Paper] Workshop Neuro-Symbolic AI
  
• Plan-SOFAI: A Neuro-Symbolic Planning Architecture
  Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models (NuCLeaR) Workshop at AAAI, 2024
  Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
  [Paper] Workshop Automated Planning Neuro-Symbolic AI
  

2023

• Building and Using a Planning Ontology from Past Data for Performance Efficiency
  Planning and Ontology Workshop (PLATO), ICAPS 2023, Prague, CZ
  Bharath Muppasani, Vishal Pallagani, Biplav Srivastava and Raghava Mutharaju
  [Paper] Workshop Automated Planning Ontology
  
• Value-based Fast and Slow AI Nudging
  Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches Workshop at IJCAI, 2023
  Marianna B Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Brent Venable
  [Paper] Workshop Neuro-Symbolic AI
  
• Understanding the Capabilities of Large Language Models for Automated Planning
  Preprint, May 2023
  Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
  [Paper] Preprint Automated Planning
  
• Fast and Slow Planning
  Preprint, March 2023
  Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
  [Paper] Preprint Automated Planning Neuro-Symbolic AI
  
• Plansformer: Generating symbolic plans using transformers
  Generalization in Planning (GenPlan) Workshop at NeurIPS, 2023
  Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
  [Paper] Workshop Automated Planning Neuro-Symbolic AI
  
• LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making
  4th ACM International Conference on AI in Finance: ICAIF'23, New York, 2023
  Kausik Lakkaraju, Sara Rae Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C Muppasani and Biplav Srivastava
  [Paper] [Slides] Conference Chatbots Finance
  
• The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias
  The Fifth IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications: IEEE TPS'23, Atlanta, 2023
  Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
  [Paper] [Slides] Conference Trust Rating
  
• Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
  Preprint, Sep 2023
  Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi
  [Paper] Preprint Chatbots
  
• Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik’s Cube
  ICML 2023 TEACH Conversational AI Workshop, Hawaii, 2023
  Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu
  [Paper] Workshop Chatbots
  
• On Safe and Usable Chatbots for Promoting Voter Participation
  AAAI AI Magazine
  Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan
  [Paper] Chatbots Elections
  
• Plansformer Tool: Demonstrating Generation of Symbolic Plans using Transformers
  International Joint Conference on Artificial Intelligence (IJCAI) Demo Track, 2023
  Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepal
  [Paper] Demo Automated Planning
  
• A Review of the Explainability and Safety of Conversational Agents for Mental Health to Identify Avenues for Improvement
  Frontiers Artificial Intelligence
  Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava
  [Paper] Journal Chatbots
  
• Regulation Intelligence ^Water(RI^W): AI for Promoting Better Understanding of Water’s Regulatory Context for Informed Decision Making
  American Geophysical Union, San Francisco, USA, 2023
  Biplav Srivastava
  [Paper - coming soon] Water
  
• Understanding and Working with Large Language Models (LLMs) for Water Decision Support in India
  American Geophysical Union, San Francisco, USA, 2023
  Bihu Suchetana, Vaishnavi Anand, Khushi Porwal, Biplav Srivastava
  [Paper - coming soon] Water
  
• Promoting Sustainable Water Usage and Management with Water Data, AI and Policy
  In 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) (CODS-COMAD 2023), January 4–7, 2023, Mumbai, India
  Bihu Suchetana, Biplav Srivastava, Hari Prabhat Gupta, Manabendra Saharia
  [Paper] Tutorial Water
  
• Modeling and Steering Multi-Dimensional Opinion Networks with Aggregated Measurements
  SIAM Conference on Dynamical Systems, May 2023
  Vignesh Narayanan, Bharath Muppasani, Sai Teja Paladi, Biplav Srivastava, Michael Huhns
  [Abstract]
  
• A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors
  Proc. Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-23)
  Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
  [Paper] [Slides] Conference Data Analysis Power IoT
  

  
• On Safe and Usable Chatbots for Promoting Voter Participation
  AAAI 2023 Workshop on AI for Credible Elections
  Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan
  [Paper] Workshop Chatbots Elections
  
• Advances in Automatically Rating the Trustworthiness of Text Processing Services
  AI Ethics (Springer Nature), 2023 (IF=2); Also in AAAI Spring Symposium on AI Trustworthiness Assessment, San Francisco, 2023
  Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
  [Paper] Journal Trust Rating
  
• Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes
  Planning and Scheduling for Financial Services (FinPlan'23) Workshop at ICAPS 2023
  Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava
  [Paper] [Slides] Workshop Trust Rating Finance
  

2022

• Data-based Insights for the Masses: Scaling Natural Language Querying to Middleware Data
  Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022
  Kausik Lakkaraju, Vinamra Palaiyya, Sai Teja Paladi, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
  [Paper] [Presentation] Conference Data Analysis
  
• Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
  Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2022) Co-located with (IJCLR 2022)
  Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
  [Paper] Workshop Neuro-Symbolic AI
  
• Why is my System Biased?: Rating of AI Systems through a Causal Lens [Student Abstract]
  Conference on Artificial Intelligence, Ethics and Society (AIES) 2022
  Kausik Lakkaraju
  [Paper] [Slides] Conference Trust Rating
  

2021

• Did Chatbots Miss Their 'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19
  Cell PATTERNS, 2021
  Biplav Srivastava
  [Paper] Journal Chatbots Health
  
• Thinking Fast and Slow in AI: the Role of Metacognition
  International Conference on Machine Learning, Optimization, and Data Science
  Marianna Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
  [Paper] Conference Neuro-Symbolic AI
  
• Prudent: A Generic Dialog Agent for Information Retrieval That Can Flexibly Mix Automated Planning and Reinforcement Learning
  International Conference on Automated Planning and Scheduling (ICAPS) Demonstration Track, 2021
  Vishal Pallagani, Biplav Srivastava
  [Paper] Demo Automated Planning Chatbots