Toward collecting and delivering knowledge for software design at the whiteboard. - Adriana Meza Soria; André van der Hoek (CHASE@ICSE, 2018)

Collecting design knowledge through voice notes. - Adriana Meza Soria; André van der Hoek (CHASE@ICSE, 2019)

KNOCAP: capturing and delivering important design bits in whiteboard design meetings. - Adriana Meza Soria (ICSE (Companion Volume), 2020)

The Design of a Study Concerning the Capture of Important Design Bits at the Whiteboard. - Adriana Meza Soria; André van der Hoek (MoDELS (Companion), 2021)

Recurring Distributed Software Maintenance Meetings: Toward an Initial Understanding. - Adriana Meza Soria; André van der Hoek; Janet E. Burge (CHASE@ICSE, 2022)

Reading to Write Code: An Experience Report of a Reverse Engineering and Modeling Course. - Brooke Ryan; Adriana Meza Soria; Kaj Dreef; André van der Hoek (ICSE (SEET), 2022)

Understanding How Information Flows in and out of Regularly Scheduled Software Maintenance Design Meetings: a Case Study - Adriana Meza Soria (2022)

Exploring a Research Agenda for Design Knowledge Capture in Meetings. - Liz Seero; Janet E. Burge; Adriana Meza Soria; André van der Hoek (CHASE, 2023)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; G. P. Shrivatsa Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachindra Joshi; et al. (EMNLP (Industry Track), 2024)

Characterizing Software Maintenance Meetings: Information Shared, Discussion Outcomes, and Information Captured. - Adriana Meza Soria; Taylor Lopez; Elizabeth Seero; Negin Mashhadi; Emily Evans; Janet E. Burge; André van der Hoek (ICSE, 2024)

API Pack: A Massive Multilingual Dataset for API Call Generation. - Zhen Guo; Adriana Meza Soria; Wei Sun; Yikang Shen; Rameswar Panda (CoRR, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - 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; et al. (CoRR, 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; GP Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachin Joshi; et al. (CoRR, 2024)

Scaling Granite Code Models to 128K Context. - 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; et al. (CoRR, 2024)

Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler. - Yikang Shen; Matthew Stallone; Mayank Mishra; Gaoyuan Zhang; Shawn Tan; Aditya Prasad; Adriana Meza Soria; David D. Cox; Rameswar Panda (CoRR, 2024)

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation. - Zhen Guo; Adriana Meza Soria; Wei Sun; Yikang Shen; Rameswar Panda (ICLR, 2025)