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cs.CL2025
From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits
Karim Saraipour, Shichang Zhang
Transformer-based language models (LMs) can perform a wide range of tasks, and mechanistic interpretability (MI) aims to reverse engineer the components responsible for task comple…
cs.LG2025
Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems
Shichang Zhang, Hongzhe Du, Jiaqi W. Ma +1
Modern AI systems are typically developed through multiple stages-pretraining, fine-tuning rounds, and subsequent adaptation or alignment, where each stage builds on the previous o…