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cs.CL2026
TaRA: Training-Aware Low-Rank Adaptation Initialization
Taehyeon Kim, Eunhyeok Park
Low-Rank Adaptation (LoRA) has become a de facto standard for parameter-efficient fine-tuning (PEFT), yet its performance is highly sensitive to initialization due to the informati…
cs.CL2026
Not the Dimension, the Norm: What Matters in Gradient-Free Weight Perturbation of Language Models
Taeyeong Kim, Ahhyun Kim, TaeHyeon Kim +1
Adapting a language model to a task no longer requires training all of its weights, and a line of parameter-efficient methods has driven the trainable count from billions down to a…
cs.AI2026
MERIT Feedback Elicits Better Bargaining in LLM Negotiators
Jihwan Oh, Murad Aghazada, Yooju Shin +2
Bargaining is often regarded as a logical arena rather than an art or a matter of intuition, yet Large Language Models (LLMs) still struggle to navigate it due to limited strategic…