6 papers
Temporal Adaptive Fine-Tuning for Code Comprehension
Alex Wolf, Pooja Rani, Harald C. Gall
Repository-level code comprehension question answering (QA) supports developer reasoning over functionality and usage distributed across codebases. However, repository-specialized…
From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot
Nitish Patkar, Pooja Rani, Jack Glässer +2
LLM-powered chatbots are increasingly embedded in everyday workflows, raising sustainability concerns due to their energy use. Most mitigation strategies emphasize model or infrast…
Do LLMs Favor Their Providers? Measuring Vertical Integration Bias in Code Generation
Melih Catal, Alex Wolf, Tiago Ferreiro Matos +2
Large Language Models (LLMs) have become an integral part of software development, especially with the advent of agentic capabilities. Yet, many frontier LLMs are affiliated with s…
Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
Melih Catal, Pooja Rani, Harald C. Gall
Large language models specialized for code (CodeLLMs) have demonstrated remarkable capabilities in generating code snippets, documentation, and test cases. However, despite their p…
Multi Language Models for On-the-Fly Syntax Highlighting
Marco Edoardo Palma, Pooja Rani, Harald C. Gall
Syntax highlighting is a critical feature in modern software development environments, enhancing code readability and developer productivity. However, delivering accurate highlight…
Key-Augmented Neural Triggers for Knowledge Sharing
Alex Wolf, Marco Edoardo Palma, Pooja Rani +1
Repository-level code comprehension and knowledge sharing remain core challenges in software engineering. Large language models (LLMs) have shown promise by generating explanations…