Exploring Geographic Relative Space in Large Language Models through Activation Patching
Fuente:
arXiv
Saved in:
| Main Authors: | De Sabbata, Stef, Baiju, Rahul, Mizzaro, Stefano, Roitero, Kevin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Geospatial Mechanistic Interpretability of Large Language Models
by: De Sabbata, Stef, et al.
Published: (2025)
by: De Sabbata, Stef, et al.
Published: (2025)
The Effect of Document Summarization on LLM-Based Relevance Judgments
by: Mohtadi, Samaneh, et al.
Published: (2025)
by: Mohtadi, Samaneh, et al.
Published: (2025)
On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
by: Lunardi, Riccardo, et al.
Published: (2025)
by: Lunardi, Riccardo, et al.
Published: (2025)
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
by: Roitero, Kevin, et al.
Published: (2025)
by: Roitero, Kevin, et al.
Published: (2025)
Rational Metareasoning for Large Language Models
by: De Sabbata, C. Nicolò, et al.
Published: (2024)
by: De Sabbata, C. Nicolò, et al.
Published: (2024)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Steering Large Language Model Activations in Sparse Spaces
by: Bayat, Reza, et al.
Published: (2025)
by: Bayat, Reza, et al.
Published: (2025)
Relative Value Biases in Large Language Models
by: Hayes, William M., et al.
Published: (2024)
by: Hayes, William M., et al.
Published: (2024)
SpaceByte: Towards Deleting Tokenization from Large Language Modeling
by: Slagle, Kevin
Published: (2024)
by: Slagle, Kevin
Published: (2024)
Dissecting Persona-Driven Reasoning in Language Models via Activation Patching
by: Poonia, Ansh, et al.
Published: (2025)
by: Poonia, Ansh, et al.
Published: (2025)
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
by: Zhang, Fred, et al.
Published: (2023)
by: Zhang, Fred, et al.
Published: (2023)
Exploring Activation Patterns of Parameters in Language Models
by: Wang, Yudong, et al.
Published: (2024)
by: Wang, Yudong, et al.
Published: (2024)
Predicting missing values: A good idea?
by: van Buuren, Stef
Published: (2026)
by: van Buuren, Stef
Published: (2026)
Massive Activations in Large Language Models
by: Sun, Mingjie, et al.
Published: (2024)
by: Sun, Mingjie, et al.
Published: (2024)
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
by: AlKhamissi, Badr, et al.
Published: (2025)
by: AlKhamissi, Badr, et al.
Published: (2025)
OT on the Map: Quantifying Domain Shifts in Geographic Space
by: Zhang, Haoran, et al.
Published: (2026)
by: Zhang, Haoran, et al.
Published: (2026)
Universal Properties of Activation Sparsity in Modern Large Language Models
by: Szatkowski, Filip, et al.
Published: (2025)
by: Szatkowski, Filip, et al.
Published: (2025)
MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
by: Ding, Chenlu, et al.
Published: (2025)
by: Ding, Chenlu, et al.
Published: (2025)
LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information
by: van Buuren, Stef
Published: (2026)
by: van Buuren, Stef
Published: (2026)
PAVE: Patching and Adapting Video Large Language Models
by: Liu, Zhuoming, et al.
Published: (2025)
by: Liu, Zhuoming, et al.
Published: (2025)
Exploring and Benchmarking the Planning Capabilities of Large Language Models
by: Bohnet, Bernd, et al.
Published: (2024)
by: Bohnet, Bernd, et al.
Published: (2024)
Large Language Model Compression via the Nested Activation-Aware Decomposition
by: Lu, Jun, et al.
Published: (2025)
by: Lu, Jun, et al.
Published: (2025)
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
by: Jin, Haoran, et al.
Published: (2025)
by: Jin, Haoran, et al.
Published: (2025)
Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
by: Fartale, Harshwardhan, et al.
Published: (2025)
by: Fartale, Harshwardhan, et al.
Published: (2025)
Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space
by: Shen, Yangyi, et al.
Published: (2026)
by: Shen, Yangyi, et al.
Published: (2026)
A Systematic Study of Compression Ordering for Large Language Models
by: Chhawri, Shivansh, et al.
Published: (2025)
by: Chhawri, Shivansh, et al.
Published: (2025)
Boosting Team Modeling through Tempo-Relational Representation Learning
by: De Luca, Vincenzo Marco, et al.
Published: (2025)
by: De Luca, Vincenzo Marco, et al.
Published: (2025)
Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints
by: Kang, Zilin, et al.
Published: (2025)
by: Kang, Zilin, et al.
Published: (2025)
First Activations Matter: Training-Free Methods for Dynamic Activation in Large Language Models
by: Ma, Chi, et al.
Published: (2024)
by: Ma, Chi, et al.
Published: (2024)
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
by: Hu, Jifeng, et al.
Published: (2024)
by: Hu, Jifeng, et al.
Published: (2024)
Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
by: Zheng, Lin, et al.
Published: (2026)
by: Zheng, Lin, et al.
Published: (2026)
LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)
by: Mura, Raffaele, et al.
Published: (2025)
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
by: Meng, Xiang, et al.
Published: (2024)
by: Meng, Xiang, et al.
Published: (2024)
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
by: Moreno-Pino, Fernando, et al.
Published: (2024)
by: Moreno-Pino, Fernando, et al.
Published: (2024)
Exploring the Adversarial Capabilities of Large Language Models
by: Struppek, Lukas, et al.
Published: (2024)
by: Struppek, Lukas, et al.
Published: (2024)
Exploring Federated Pruning for Large Language Models
by: Guo, Pengxin, et al.
Published: (2025)
by: Guo, Pengxin, et al.
Published: (2025)
Exploring Large Language Models for Climate Forecasting
by: Wang, Yang, et al.
Published: (2024)
by: Wang, Yang, et al.
Published: (2024)
ActTail: Global Activation Sparsity in Large Language Models
by: Hou, Wenwen, et al.
Published: (2026)
by: Hou, Wenwen, et al.
Published: (2026)
Activation Sparsity Opportunities for Compressing General Large Language Models
by: Dhar, Nobel, et al.
Published: (2024)
by: Dhar, Nobel, et al.
Published: (2024)
Similar Items
-
Geospatial Mechanistic Interpretability of Large Language Models
by: De Sabbata, Stef, et al.
Published: (2025) -
The Effect of Document Summarization on LLM-Based Relevance Judgments
by: Mohtadi, Samaneh, et al.
Published: (2025) -
On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
by: Lunardi, Riccardo, et al.
Published: (2025) -
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
by: Roitero, Kevin, et al.
Published: (2025) -
Rational Metareasoning for Large Language Models
by: De Sabbata, C. Nicolò, et al.
Published: (2024)