最新模型
OctoLong Trains Long-Context Models on Cross-Library Dependency Chains, Lifting the 8B Model’s RepoQA Score to 64.63
Instead of simply concatenating individual libraries into long documents, OctoLong recursively gathers implementations by following AST, language-server, and package dependency relationships. The research team released models ranging from 600M to 14B parameters, with experiments showing that dependency-dense data improves code retrieval, state tracking, and API usage.