Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts

arXiv:2603.17070 · cs.CL, cs.AI · Submitted 2026-03-17 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-03-17

Updated: 2026-08-28

Terminology

Trace — 21× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Benchmark — 4× in this paper · explained in 2 episodes
Alignment — 2× in this paper · explained in 1 episode
Fine-Tuning — 2× in this paper · explained in 5 episodes
Interpretability — 2× in this paper · explained in 15 episodes
Low-Resource Languages — 2× in this paper · explained in 4 episodes
Transformer — 2× in this paper · explained in 2 episodes
Activation Patching — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
In-Context Learning — 1× in this paper · explained in 4 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Resource Constraints — 1× in this paper · explained in 3 episodes
Scaling Laws — 1× in this paper · explained in 4 episodes
Supervised Fine-Tuning — 1× in this paper
Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
Synthetic Data Generation — 1× in this paper · explained in 5 episodes

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