2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Fewer Tokens, Smaller Cache: Reward-Coordinated Efficient Reasoning
Qiyuan Zhu, Dezhi Li, Pengyu Cheng +8
Large Reasoning Models (LRMs) excel on complex tasks through long chain-of-thought (CoT) reasoning, but their lengthy intermediate steps cause severe overthinking that inflates inf…
cs.LG2024★ 2 cited
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Cheng Lin, Lujun Li, Dezhi Li +3
In this paper, we introduce Nested Low-Rank Adaptation (NoRA), a novel approach to parameter-efficient fine-tuning that extends the capabilities of Low-Rank Adaptation (LoRA) techn…