LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering
cs.CL
Submitted: 2026-07-07
Updated: 2026-10-12
Terminology
Sources
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
- Phi-4 Technical Report
- Refusal in Language Models Is Mediated by a Single Direction
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models
- Gemma 3 Technical Report
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- The Llama 3 Herd of Models
- AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
- Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models
- Steering Language Models With Activation Engineering
- DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation
- Representation Engineering: A Top-Down Approach to AI Transparency
- A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems
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