Understanding and Exploiting Anisotropy in Post-Training
cs.LG, cs.CL
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Language Model Circuits Are Sparse in the Neuron Basis
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
- What Does an LLM Learn from Reinforcement Learning? A Mechanistic Interpretability Perspective with Fixed-SAE Track
- Representation Degeneration Problem in Training Natural Language Generation Models
- Measuring Mathematical Problem Solving With the MATH Dataset
- LoRA: Low-Rank Adaptation of Large Language Models
- DoRA: Weight-Decomposed Low-Rank Adaptation
- Learning to Reason in 13 Parameters
- In-context Learning and Induction Heads
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Capsule Lens: Locating and Tracking Concept Geometry in Model Representations
- Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
- Representation Engineering: A Top-Down Approach to AI Transparency
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