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cs.AI2026
OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling
Indraneil Paul, Falko Helm, Goran Glavaš +1
Context lengths of language models (LMs) have dramatically increased, driven by the demands for in-context learning, self-improvement, and long-horizon agentic workflows. Existing…
cs.AI2024
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
Indraneil Paul, Goran Glavaš, Iryna Gurevych
Code understanding and generation have fast become some of the most popular applications of language models (LMs). Nonetheless, research on multilingual aspects of Code-LMs (i.e.,…