TiMoE

Modular framework for temporally grounded language models with time-aware expert routing.

Modular Mixture-of-Experts (MoE) framework for temporally grounded LLMs. Trains separate GPT experts on two-year data slices; routes queries to experts up to the query timestamp. Aggregates outputs via equal weighting, learned routing, or joint co-adaptation. Includes repo structure and quickstart instructions.