2 papers
cs.CL2026
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
While Mechanistic Interpretability has identified interpretable circuits in LLMs, their causal origins in training data remain elusive. We introduce Mechanistic Data Attribution (M…
cs.CL2026
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
Yi Hu, Jiaqi Gu, Ruxin Wang +6
Reinforcement learning (RL) has catalyzed the emergence of Large Reasoning Models (LRMs) that have pushed reasoning capabilities to new heights. While their performance has garnere…