Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liusie, Adian, Fathullah, Yassir, Gales, Mark J. F. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons
by: Liusie, Adian, et al.
Published: (2024)
by: Liusie, Adian, et al.
Published: (2024)
WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models
by: Molenda, Piotr, et al.
Published: (2024)
by: Molenda, Piotr, et al.
Published: (2024)
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
by: Liusie, Adian, et al.
Published: (2023)
by: Liusie, Adian, et al.
Published: (2023)
Finetuning LLMs for Comparative Assessment Tasks
by: Raina, Vatsal, et al.
Published: (2024)
by: Raina, Vatsal, et al.
Published: (2024)
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
by: Raina, Vyas, et al.
Published: (2024)
by: Raina, Vyas, et al.
Published: (2024)
Efficient Sample-Specific Encoder Perturbations
by: Fathullah, Yassir, et al.
Published: (2024)
by: Fathullah, Yassir, et al.
Published: (2024)
Investigating the Emergent Audio Classification Ability of ASR Foundation Models
by: Ma, Rao, et al.
Published: (2023)
by: Ma, Rao, et al.
Published: (2023)
Zero-shot Audio Topic Reranking using Large Language Models
by: Qian, Mengjie, et al.
Published: (2023)
by: Qian, Mengjie, et al.
Published: (2023)
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
by: Sun, Guangzhi, et al.
Published: (2024)
by: Sun, Guangzhi, et al.
Published: (2024)
Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge
by: Fathullah, Yassir, et al.
Published: (2025)
by: Fathullah, Yassir, et al.
Published: (2025)
Cross-Lingual Transfer Learning for Speech Translation
by: Ma, Rao, et al.
Published: (2024)
by: Ma, Rao, et al.
Published: (2024)
Rethinking Prompt-based Debiasing in Large Language Models
by: Yang, Xinyi, et al.
Published: (2025)
by: Yang, Xinyi, et al.
Published: (2025)
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level
by: Shi, Bingkang, et al.
Published: (2023)
by: Shi, Bingkang, et al.
Published: (2023)
Self-Debias: Self-correcting for Debiasing Large Language Models
by: Feng, Xuan, et al.
Published: (2026)
by: Feng, Xuan, et al.
Published: (2026)
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)
by: Cheng, Xiaoqing, et al.
Published: (2025)
Self-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making
by: Lyu, Yougang, et al.
Published: (2025)
by: Lyu, Yougang, et al.
Published: (2025)
Causal-Guided Active Learning for Debiasing Large Language Models
by: Du, Li, et al.
Published: (2024)
by: Du, Li, et al.
Published: (2024)
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
by: Liu, Tianci, et al.
Published: (2024)
by: Liu, Tianci, et al.
Published: (2024)
UGID: Unified Graph Isomorphism for Debiasing Large Language Models
by: Ding, Zikang, et al.
Published: (2026)
by: Ding, Zikang, et al.
Published: (2026)
Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024)
by: Xie, Yangxinyu, et al.
Published: (2024)
DeFrame: Debiasing Large Language Models Against Framing Effects
by: Lim, Kahee, et al.
Published: (2026)
by: Lim, Kahee, et al.
Published: (2026)
Self-Supervised Position Debiasing for Large Language Models
by: Liu, Zhongkun, et al.
Published: (2024)
by: Liu, Zhongkun, et al.
Published: (2024)
Towards Universal Debiasing for Language Models-based Tabular Data Generation
by: Li, Tianchun, et al.
Published: (2025)
by: Li, Tianchun, et al.
Published: (2025)
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment
by: Zhang, Congzhi, et al.
Published: (2024)
by: Zhang, Congzhi, et al.
Published: (2024)
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
by: Ratzlaff, Neale, et al.
Published: (2024)
by: Ratzlaff, Neale, et al.
Published: (2024)
LLM4Rec: Large Language Models for Multimodal Generative Recommendation with Causal Debiasing
by: Ma, Bo, et al.
Published: (2025)
by: Ma, Bo, et al.
Published: (2025)
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
by: Zhang, Zefeng, et al.
Published: (2025)
by: Zhang, Zefeng, et al.
Published: (2025)
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
by: Sun, Zhouhao, et al.
Published: (2025)
by: Sun, Zhouhao, et al.
Published: (2025)
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
by: Li, Bowen, et al.
Published: (2026)
by: Li, Bowen, et al.
Published: (2026)
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
by: Rakshit, Aishik, et al.
Published: (2024)
by: Rakshit, Aishik, et al.
Published: (2024)
Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models
by: Farajidizaji, Asma, et al.
Published: (2023)
by: Farajidizaji, Asma, et al.
Published: (2023)
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)
by: Gallegos, Isabel O., et al.
Published: (2024)
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)
by: Ebrahimi, Sana, et al.
Published: (2024)
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
by: Furniturewala, Shaz, et al.
Published: (2024)
by: Furniturewala, Shaz, et al.
Published: (2024)
Expert-Guided Extinction of Toxic Tokens for Debiased Generation
by: Sun, Xueyao, et al.
Published: (2024)
by: Sun, Xueyao, et al.
Published: (2024)
Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
by: Sermsri, Kasidit, et al.
Published: (2025)
by: Sermsri, Kasidit, et al.
Published: (2025)
Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Creativity Has Left the Chat: The Price of Debiasing Language Models
by: Mohammadi, Behnam
Published: (2024)
by: Mohammadi, Behnam
Published: (2024)
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
by: Bae, Suyoung, et al.
Published: (2025)
by: Bae, Suyoung, et al.
Published: (2025)
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
by: Li, Jiangmeng, et al.
Published: (2024)
by: Li, Jiangmeng, et al.
Published: (2024)
Similar Items
-
Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons
by: Liusie, Adian, et al.
Published: (2024) -
WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models
by: Molenda, Piotr, et al.
Published: (2024) -
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
by: Liusie, Adian, et al.
Published: (2023) -
Finetuning LLMs for Comparative Assessment Tasks
by: Raina, Vatsal, et al.
Published: (2024) -
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
by: Raina, Vyas, et al.
Published: (2024)