[1] Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning, Mingze Wu, Abhinav Anand, Shweta Verma, Mira Mezini, ICML DEMO Workshop, 2026

[2] Towards Understanding What State Space Models Learn About Code, Jiali Wu, Abhinav Anand, Shweta Verma, Mira Mezini, preprint, 2026

[3] CodeSSM: Towards State Space Models for Code Understanding, Shweta Verma, Abhinav Anand, Mira Mezini, EMNLP, 2025

[4] Analysis of Long Range Dependency Understanding in State Space Models, Srividya Ravikumar, Abhinav Anand, Shweta Verma, Mira Mezini, preprint, 2025

[5] Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs, Marina Sakharova, Abhinav Anand, Mira Mezini, NAACL SRW, 2025

[6] A Critical Study of What CodeLLMs Do (Not) Learn, Abhinav Anand, Shweta Verma, Krishna Narasimhan, Mira Mezini, ACL, 2024