Articles
TEXAS: Task-Expert-Aware Supervision for Downstream⭐9
TEXAS method improves MoE LLM adaptation by identifying task-relevant experts and optimizing token supervision, boosting performance across benchmarks.
TEXAS method improves MoE LLM adaptation by identifying task-relevant experts and optimizing token supervision, boosting performance across benchmarks.