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Causal Intervention

2 articles · Page 1 of 1

Jun 28, 2026 · Artificial Intelligence

Which Training Data Shapes Large‑Model Abilities? Introducing Mechanistic Data Attribution (MDA)

The paper presents Mechanistic Data Attribution, a framework that traces the origins of specific internal mechanisms such as induction heads to particular training samples, revealing that repetitive "garbage" data—not high‑quality text—drives their emergence, and validates this causal link through deletion and augmentation experiments while enabling scalable data‑driven model improvement.

Causal InterventionData AugmentationInduction Heads

0 likes · 12 min read

Which Training Data Shapes Large‑Model Abilities? Introducing Mechanistic Data Attribution (MDA)

Bighead's Algorithm Notes

Sep 13, 2025 · Artificial Intelligence

Paper Summary: Recent AI Advances in Financial Time-Series (Sep 6‑12, 2025)

This article summarizes four recent AI research papers that explore zero‑shot PDE extrapolation with text‑trained LLMs, causal hidden‑state interventions for rare financial events, tabular reformulation of graph node classification, and a multimodal model for financial time‑series forecasting, detailing their methods, experiments, and key findings.

Causal InterventionLLMfinancial forecasting

0 likes · 10 min read

Paper Summary: Recent AI Advances in Financial Time-Series (Sep 6‑12, 2025)