Kiran Kate - RankMe

44 papers A* 7A 1B 1C 1Misc 1Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent Lifecycle Toolkit (ALTK): Reusable Middleware Components for Robust AI Agents. CoRR Zidane Wright, Jason Tsay, Anupama Murthi, Osher Elhadad, Diego Del Rio, Saurabh Goyal, Kiran Kate, Jim Laredo, Koren Lazar, Vinod Muthusamy, Yara Rizk
2026	—	`conf`	How Good Are LLMs at Processing Tool Outputs? EACL (Volume 1: Long Papers) Kiran Kate, Yara Rizk, Poulami Ghosh, Ashu Gulati, Tathagata Chakraborti, Zidane Wright, Mayank Agarwal
2026	—	`conf`	Live API-Bench: 2500+ Live APIs for Testing Multi-Step Tool Calling. EACL (Volume 1: Long Papers) Benjamin Elder, Anupama Murthi, Jungkoo Kang, Ankita Naik, Kinjal Basu, Kiran Kate, Danish Contractor
2025	—	`conf`	Generating OpenAPI Specifications from Online API Documentation with Large Language Models. ACL (6) Koren Lazar, Matan Vetzler, Kiran Kate, Jason Tsay, David Boaz, Himanshu Gupta, Avraham Shinnar, Rohith D. Vallam, David Amid, Esther Goldbraich, Jim Laredo, Ateret Anaby-Tavor
2025	J	`jnl`	How Good Are LLMs at Processing Tool Outputs? CoRR Kiran Kate, Yara Rizk, Poulami Ghosh, Ashu Gulati, Tathagata Chakraborti, Zidane Wright, Mayank Agarwal
2025	C	`conf`	Improving Examples in Web API Specifications using Iterated-Calls In-Context Learning. AST Kush Jain, Kiran Kate, Jason Tsay, Claire Le Goues, Martin Hirzel
2025	J	`jnl`	Improving Examples in Web API Specifications using Iterated-Calls In-Context Learning. CoRR Kush Jain, Kiran Kate, Jason Tsay, Claire Le Goues, Martin Hirzel
2025	J	`jnl`	Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling Evaluation. CoRR Benjamin Elder, Anupama Murthi, Jungkoo Kang, Ankita Rajaram Naik, Kiran Kate, Kinjal Basu, Danish Contractor
2025	J	`jnl`	LongFuncEval: Measuring the effectiveness of long context models for function calling. CoRR Kiran Kate, Tejaswini Pedapati, Kinjal Basu, Yara Rizk, Vijil Chenthamarakshan, Subhajit Chaudhury, Mayank Agarwal, Ibrahim Abdelaziz
2025	A*	`conf`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. EMNLP Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi
2025	J	`jnl`	OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models. CoRR Koren Lazar, Matan Vetzler, Kiran Kate, Jason Tsay, David Boaz, Himanshu Gupta, Avraham Shinnar, Rohith D. Vallam, David Amid, Esther Goldbraich, Guy Uziel, Jim Laredo, Ateret Anaby-Tavor
2025	J	`jnl`	Repairing Tool Calls Using Post-tool Execution Reflection and RAG. CoRR Jason Tsay, Zidane Wright, Gaodan Fang, Kiran Kate, Saurabh Jha, Yara Rizk
2025	—	`conf`	Towards LLMs Robustness to Changes in Prompt Format Styles. NAACL (Student Research Workshop) Lilian Ngweta, Kiran Kate, Jason Tsay, Yara Rizk
2025	J	`jnl`	Towards LLMs Robustness to Changes in Prompt Format Styles. CoRR Lilian Ngweta, Kiran Kate, Jason Tsay, Yara Rizk
2025	J	`jnl`	When Agents go Astray: Course-Correcting SWE Agents with PRMs. CoRR Shubham Gandhi, Jason Tsay, Jatin Ganhotra, Kiran Kate, Yara Rizk
2024	A	`conf`	AI for Low-Code for AI. IUI Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel
2024	J	`jnl`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi
2024	J	`jnl`	Out of style: Misadventures with LLMs and code style transfer. CoRR Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas
2024	—	`conf`	Training and Cross-Validating Machine Learning Pipelines with Limited Memory. AutoML Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar
2023	J	`jnl`	AI for Low-Code for AI. CoRR Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel
2023	A*	`conf`	CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. AAAI Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas
2023	J	`jnl`	MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. CoRR Krishnateja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer
2023	—	`conf`	Searching for Fairer Machine Learning Ensembles. AutoML Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
2023	—	`conf`	Towards large language model-based personal agents in the enterprise: Current trends and open problems. EMNLP (Findings) Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube
2022	J	`jnl`	An Empirical Study of Modular Bias Mitigators and Ensembles. CoRR Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
2022	J	`jnl`	Exploring Code Style Transfer with Neural Networks. CoRR Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas
2022	A*	`conf`	Gradual AutoML using Lale. KDD Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay
2022	J	`jnl`	Navigating Ensemble Configurations for Algorithmic Fairness. CoRR Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
2021	A*	`conf`	AutoText: An End-to-End AutoAI Framework for Text. AAAI Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li
2021	A*	`conf`	Pipeline Combinators for Gradual AutoML. NeurIPS Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay
2021	A*	`conf`	Thinking Fast and Slow in AI. AAAI Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
2020	J	`jnl`	Lale: Consistent Automated Machine Learning. CoRR Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar
2020	J	`jnl`	Mining Documentation to Extract Hyperparameter Schemas. CoRR Guillaume Baudart, Peter D. Kirchner, Martin Hirzel, Kiran Kate
2020	J	`jnl`	Thinking Fast and Slow in AI. CoRR Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
2019	J	`jnl`	A semi-supervised deep learning algorithm for abnormal EEG identification. CoRR Subhrajit Roy, Kiran Kate, Martin Hirzel
2019	—	`conf`	Machine learning in Python with no strings attached. MAPL@PLDI Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar
2019	J	`jnl`	Type-Driven Automated Learning with Lale. CoRR Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram
2018	J	`jnl`	Yaps: Python Frontend to Stan. CoRR Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar
2014	A*	`conf`	FoodSIS: a text mining system to improve the state of food safety in singapore. KDD Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam
2014	—	`conf`	InfoSuggest: A System for Automated Information Gathering: With a Real-World Case Study. SRII Global Conference Kiran Kate, Andy Prapanca, Jayant Kalagnanam
2014	—	`conf`	Monitoring Food Safety Violation Reports from Internet Forums. MIE Kiran Kate, Sumit Negi, Jayant Kalagnanam
2010	B	`conf`	A Gradient Descent Approach for Multi-modal Biometric Identification. ICPR Jayanta Basak, Kiran Kate, Vivek Tyagi, Nalini K. Ratha
2010	—	`conf`	QPLC: A novel multimodal biometric score fusion method. CVPR Workshops Jayanta Basak, Kiran Kate, Vivek Tyagi, Nalini K. Ratha
2009	Misc	`conf`	Epsilon Equitable Partition: A positional analysis method for large social networks. COMAD Kiran Kate, Balaraman Ravindran