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Open-source Luwen shows that adapting general-purpose LLMs with legal-specific data and retrieval augmentation can yield significant performance gains on complex Chinese legal tasks.
Forget outcome-based filtering: TopoCurate uses interaction topology to surface informative tool-use trajectories and tasks, boosting SFT and RL performance by up to 6.9%.
Forget expensive MoE training from scratch: ExpertWeaver unlocks inherent MoE structure within dense LLMs using GLU activation patterns, offering a training-free conversion.
LLMs can overcome "tunnel vision" in multi-turn search scenarios by using information gain to guide dynamic prompting interventions, leading to more efficient and accurate reasoning.