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Fine-tuning & PEFT
Adaptation methods such as LoRA, adapters, and lightweight fine-tuning.
2 papers · latest 2026-04-17
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Yang Li, Zirui Zhang, Yang Liu et al.
cs.AIcs.AI
LACE enables LLM reasoning paths to share insights via cross-thread attention, dramatically reducing redundant failures and improving solution quality—essential for building robust, scalable reasoning systems.
Zekai Lin, Chao Xue, Di Liang et al.
cs.LGcs.CLcs.LG
Demonstrates parameter importance evolves during fine-tuning, introducing dynamic isolation that outperforms static PEFT methods—essential for efficient, stable LLM adaptation in production.