Jeevana Priya Inala

Senior Researcher

Papiers de Collaboration

Afficher par:

- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
  
  Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang
  
  CHI 2024 | May 2024
  
  Best Paper, CHI 2024
  
  Publication
- Is Self-Repair a Silver Bullet for Code Generation?
  
  Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
  
  ICLR 2024 | June 2023
  
  Publication
- CODAMOSA: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
  
  Caroline Lemieux, Jeevana Priya Inala, Shuvendu Lahiri, Siddhartha Sen
  
  ICSE'23 | May 2023
  
  Preprint Github Projet
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication Projet
- Interactive Code Generation via Test-Driven User-Intent Formalization
  
  Shuvendu Lahiri, Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Piali Choudhury, Curtis von Veh, Madan Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
  
  August 2022
  
  Publication Projet

- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
  
  Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang
  
  CHI 2024 | May 2024
  
  Best Paper, CHI 2024
  
  Publication
- Is Self-Repair a Silver Bullet for Code Generation?
  
  Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
  
  ICLR 2024 | June 2023
  
  Publication
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication Projet
- CODAMOSA: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
  
  Caroline Lemieux, Jeevana Priya Inala, Shuvendu Lahiri, Siddhartha Sen
  
  ICSE'23 | May 2023
  
  Preprint Github Projet
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication Projet
- Interactive Code Generation via Test-Driven User-Intent Formalization
  
  Shuvendu Lahiri, Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Piali Choudhury, Curtis von Veh, Madan Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
  
  August 2022
  
  Publication Projet

- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
  
  Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang
  
  CHI 2024 | May 2024
  
  Best Paper, CHI 2024
  
  Publication
- Is Self-Repair a Silver Bullet for Code Generation?
  
  Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
  
  ICLR 2024 | June 2023
  
  Publication
- CODAMOSA: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
  
  Caroline Lemieux, Jeevana Priya Inala, Shuvendu Lahiri, Siddhartha Sen
  
  ICSE'23 | May 2023
  
  Preprint Github Projet
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication Projet
- Interactive Code Generation via Test-Driven User-Intent Formalization
  
  Shuvendu Lahiri, Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Piali Choudhury, Curtis von Veh, Madan Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
  
  August 2022
  
  Publication Projet