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#interpretability #LLM #optimization #weight-geometry #agentic-RL #neural-network #implicit-regularization #mathematics #model-compression #reparameterization

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Folder: Papers

19 items under this folder.

Jun 2026
Sparsity Curse：从模型合并理解 RLVR 参数空间
- LLM
- agentic-RL
Jun 2026
CircuitLasso：用稀疏回归做可扩展的 LLM 电路发现
- LLM
Jun 2026
From Brewing to Resolution: Tracing the Internal Lifecycle of Code Reasoning in LLMs
- LLM
May 2026
Reasoning emerges from constrained inference manifolds in large language models
- LLM
Jan 2026
The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective
- LLM
- agentic-RL
Mar 2025
Circuit Tracing / On the Biology of a Large Language Model
- interpretability
- LLM
Jan 2025
参数空间可解释性：APD 与 SPD
- interpretability
- LLM
Jan 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of LMs
- interpretability
- LLM
Oct 2023
Towards Monosemanticity：用字典学习把语言模型解耦成单义特征
- interpretability
- LLM
Oct 2023
Representation Engineering: A Top-Down Approach to AI Transparency
- interpretability
- LLM
Apr 2023
ACDC：迈向机制可解释性的自动化电路发现
- interpretability
- LLM
Mar 2023
DAS：在可解释因果变量与分布式神经表征之间寻找对齐
- interpretability
- LLM
Nov 2022
Interpretability in the Wild：GPT-2 small 的 IOI 电路
- interpretability
- LLM
Sep 2022
Toy Models of Superposition
- interpretability
- LLM
Mar 2022
In-context Learning and Induction Heads
- interpretability
- LLM
Feb 2022
Locating and Editing Factual Associations in GPT (ROME)
- interpretability
- LLM
Dec 2020
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
- LLM
Aug 2020
interpreting GPT: the logit lens
- interpretability
- LLM
Apr 2018
Measuring the Intrinsic Dimension of Objective Landscapes
- LLM

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