arXiv (All)
open access
GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models
Activation steering provides a lightweight way to control large language models (LLMs) by modifying their hidden activations at inference time. Among these approaches, norm-preserving steering aims to change model behavior without altering the activation norm, reducing the risk of representation col
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LocUS: Head Selection and Subspace Projection for Targeted Activation Steering#1105680
- CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding#1061671
- Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts#280152
- Rethinking Heterogeneous System Disaggregation for Subquadratic Attention#1070626
- Correcting WHERE, Preserving HOW: Compositional Generalization for Vision-Language-Action Models via Referential Guidance#1143217
Record · ID 997654
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive