Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
stat.AP, cs.LG
Submitted: 2026-05-13
Updated: 2026-09-30
Code: https://github.com/LuxLiang/steer-to-detect-release
Terminology
Sources
- Representation Engineering: A Top-Down Approach to AI Transparency
- LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
- Layer by Layer: Uncovering Hidden Representations in Language Models
- Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
- Raidar: geneRative AI Detection viA Rewriting
- Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
- Release Strategies and the Social Impacts of Language Models
- ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text
- AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
- To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
- Activation Steering with a Feedback Controller
- Efficient and accurate steering of Large Language Models through attention-guided feature learning
- Steering Language Models With Activation Engineering
- A Unified Understanding and Evaluation of Steering Methods
- AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
- Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning
- Steering Evaluation-Aware Language Models to Act Like They Are Deployed
- Efficient Streaming Language Models with Attention Sinks
- The Llama 3 Herd of Models
- Qwen3 Technical Report
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