The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. - Jason Mars; Yiping Kang; Roland Daynauth; Baichuan Li; Ashish Mahendra; Krisztián Flautner; Lingjia Tang (IEEE Comput. Archit. Lett., 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (CoRR, 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Jayanaka L. Dantanarayana; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (ISPASS, 2024)

GuyLingo: The Republic of Guyana Creole Corpora. - Christopher Clarke; Roland Daynauth; Jason Mars; Charlene Wilkinson; Hubert Devonish (NAACL (Short Papers), 2024)

Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments. - Roland Daynauth; Jason Mars (CoRR, 2024)

Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat. - Roland Daynauth; Christopher Clarke; Krisztián Flautner; Lingjia Tang; Jason Mars (ACL (1), 2025)

SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models. - Roland Daynauth; Christopher Clarke; Krisztián Flautner; Lingjia Tang; Jason Mars (CoRR, 2025)