Srinivas, Kavitha

22 publications

AAAI 2025 ACPBench: Reasoning About Action, Change, and Planning Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

AAAI 2025 Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract) Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

TMLR 2025 Language Models Are Good Tabular Learners Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao

NeurIPSW 2024 Automating Thought of Search: A Journey Towards Soundness and Completeness Daniel Yiming Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

AAAI 2024 Generalized Planning in PDDL Domains with Pretrained Large Language Models Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz

AAAI 2024 Large Language Models as Planning Domain Generators (Student Abstract) James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi

NeurIPSW 2024 TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery over Data Lakes Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas

NeurIPS 2024 Thought of Search: Planning with Language Models Through the Lens of Efficiency Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

NeurIPSW 2024 Thought of Search: Planning with Language Models Through the Lens of Efficiency Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

IJCAI 2023 Action Space Reduction for Planning Domains Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

AAAI 2023 CodeStylist: A System for Performing Code Style Transfer Using Neural Networks Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas

IJCAI 2023 SemFORMS: Automatic Generation of Semantic Transforms by Mining Data Science Code Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas

AAAI 2022 Can Machines Read Coding Manuals yet? - A Benchmark for Building Better Language Models for Code Understanding Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas

AAAI 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas

IJCAI 2022 Knowledge-Based News Event Analysis and Forecasting Toolkit Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip

AAAI 2022 Semantic Feature Discovery with Code Mining and Semantic Type Detection Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini

AAAI 2021 A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

AAAI 2021 IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea

AAAI 2021 Unsupervised Causal Knowledge Extraction from Text Using Natural Language Inference (Student Abstract) Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi

AAAI 2020 Causal Knowledge Extraction Through Large-Scale Text Mining Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz

IJCAI 2019 Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz

AAAI 2007 Scalable Semantic Retrieval Through Summarization and Refinement Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Li Ma