3 papers
cs.SE2026
Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework
Aditya Aggarwal, Nahid Farhady Ghalaty
LLM-based coding agents repeat the same classes of mistakes across sessions because they lack a mechanism to retain corrections from human review feedback. We present a closed-loop…
cs.SE2026
CommitDistill: A Lightweight Knowledge-Centric Memory Layer for Software Repositories
Divya Chukkapalli, Thejesh Avula, Aditya Aggarwal +2
Software repositories accumulate large amounts of unstructured knowledge in commit messages, pull-request discussions, and issue threads, but developers and AI coding assistants ra…
cs.CL2026
MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
Mehul Agarwal, Aditya Aggarwal, Arnav Goel +2
While multilingual large language models (LLMs) perform well on high-level tasks like translation and question answering, their ability to handle grammatical gender and morphologic…