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Adriana Meza Soria
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2020 – today
- 2024
- [c9]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 2024: 1131-1139 - [c8]Adriana Meza Soria
, Taylor Lopez
Characterizing Software Maintenance Meetings: Information Shared, Discussion Outcomes, and Information Captured. ICSE 2024: 56:1-56:13 - [e1]Daniel Graziotin, Alexander Nolte, Birgit Penzenstadler, Klaas-Jan Stol, Giuseppe Destefanis, Adriana Meza Soria, Silvia Abrahão:
Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering, CHASE 2024, Lisbon, Portugal, April 14-15, 2024. ACM 2024 [contents] - [i5]Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda:
API Pack: A Massive Multilingual Dataset for API Call Generation. CoRR abs/2402.09615 (2024) - [i4]Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i3]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i2]Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024) - [i1]Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda:
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler. CoRR abs/2408.13359 (2024) - 2023
- [c7]Liz Seero, Janet E. Burge, Adriana Meza Soria, André van der Hoek
Exploring a Research Agenda for Design Knowledge Capture in Meetings. CHASE 2023: 37-42 - 2022
- [b1]Adriana Meza Soria:
Understanding How Information Flows in and out of Regularly Scheduled Software Maintenance Design Meetings: a Case Study. University of California, Irvine, USA, 2022 - [c6]Brooke Ryan
Reading to Write Code: An Experience Report of a Reverse Engineering and Modeling Course. ICSE (SEET) 2022: 223-234 - [c5]Adriana Meza Soria, André van der Hoek, Janet E. Burge:
Recurring Distributed Software Maintenance Meetings: Toward an Initial Understanding. CHASE@ICSE 2022: 21-25 - 2021
- [c4]Adriana Meza Soria
The Design of a Study Concerning the Capture of Important Design Bits at the Whiteboard. MoDELS (Companion) 2021: 390-399 - 2020
- [c3]Adriana Meza Soria
KNOCAP: capturing and delivering important design bits in whiteboard design meetings. ICSE (Companion Volume) 2020: 194-197
2010 – 2019
- 2019
- [c2]Adriana Meza Soria
Collecting design knowledge through voice notes. CHASE@ICSE 2019: 33-36 - 2018
- [c1]Adriana Meza Soria, André van der Hoek:
Toward collecting and delivering knowledge for software design at the whiteboard. CHASE@ICSE 2018: 108-109
Coauthor Index
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