Acmite: Mitigating Gender Bias in LLMs through Concept-Guided Mutual Information
cs.CL
Submitted: 2026-10-01
Updated: 2026-10-01
Terminology
Sources
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Training Verifiers to Solve Math Word Problems
- AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
- The Llama 3 Herd of Models
- A Heuristic Perspective on Debiasing Language Models
- What's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
- Qwen3 Technical Report
- Atomic and Holistic LLM Judges for Reference-Grounded Support Labels: A Prompt-Controlled Comparison
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
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