BalCapRL balances RL for MLLM captioning across correctness, coverage, and fluency via normalized multi-objective rewards and length masking, boosting quality metrics substantially.
TIDE injects token identity into every layer via EmbeddingMemory to fix rare-token undertraining and contextual collapse, improving language modeling and downstream performance.