Imagen de Portada

LLM Bias Detection and Mitigation through the Lens of Desired Distributions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shrestha, Ingroj, Srinivasan, Padmini
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust Bias Detection in MLMs and its Application to Human Trait Ratings
por: Shrestha, Ingroj, et al.
Publicado: (2025)

Mitigating Social Desirability Bias in Random Silicon Sampling
por: Chapala, Sashank, et al.
Publicado: (2025)

Mitigating Length Bias in RLHF through a Causal Lens
por: Kim, Hyeonji, et al.
Publicado: (2025)

SLIM-LLMs: Modeling of Style-Sensory Language RelationshipsThrough Low-Dimensional Representations
por: Khalid, Osama, et al.
Publicado: (2025)

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
por: Borah, Angana, et al.
Publicado: (2024)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
por: Zhou, Hanzhang, et al.
Publicado: (2024)

Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification
por: Udagawa, Takuma, et al.
Publicado: (2025)

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens
por: Zheng, Haohan, et al.
Publicado: (2025)

Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
por: Kumar, Rajeev, et al.
Publicado: (2025)

BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
por: Allam, Ahmed
Publicado: (2024)

Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study
por: Okada, Kensuke, et al.
Publicado: (2026)

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
por: Liu, Zhuo, et al.
Publicado: (2025)

Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
por: Yuan, Peiwen, et al.
Publicado: (2025)

CyclicJudge: Mitigating Judge Bias Efficiently in LLM-based Evaluation
por: Zhu, Ziyi, et al.
Publicado: (2026)

Detection, Classification, and Mitigation of Gender Bias in Large Language Models
por: Cheng, Xiaoqing, et al.
Publicado: (2025)

Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation
por: Wang, Yifei, et al.
Publicado: (2025)

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
por: Li, Hang, et al.
Publicado: (2024)

Rethinking LLM Memorization through the Lens of Adversarial Compression
por: Schwarzschild, Avi, et al.
Publicado: (2024)

CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
por: Li, Haitao, et al.
Publicado: (2024)

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
por: Wu, Xuyang, et al.
Publicado: (2025)

Error as a Lens: Probing LLM Reasoning through Synthetic Misconception Generation
por: Yang, Xinming, et al.
Publicado: (2026)

Mitigating Copy Bias in In-Context Learning through Neuron Pruning
por: Ali, Ameen, et al.
Publicado: (2024)

Quantifying and Mitigating Self-Preference Bias of LLM Judges
por: Yang, Jinming, et al.
Publicado: (2026)

LLM-Guided Synthetic Augmentation (LGSA) for Mitigating Bias in AI Systems
por: Karri, Sai Suhruth Reddy, et al.
Publicado: (2025)

Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge
por: Fujinuma, Yoshinari
Publicado: (2025)

A Multifaceted Analysis of Negative Bias in Large Language Models through the Lens of Parametric Knowledge
por: Song, Jongyoon, et al.
Publicado: (2025)

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
por: Liu, Shuliang, et al.
Publicado: (2025)

Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
por: Yang, Haoyan, et al.
Publicado: (2024)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
por: Chand, Shireen, et al.
Publicado: (2025)

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
por: Wang, Angelina, et al.
Publicado: (2025)

Disclosure and Mitigation of Gender Bias in LLMs
por: Dong, Xiangjue, et al.
Publicado: (2024)

Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance
por: Hu, Wenbin, et al.
Publicado: (2025)

Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
por: Wang, Yimu, et al.
Publicado: (2025)

Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
por: Lin, Luyang, et al.
Publicado: (2025)

Explanation Regularisation through the Lens of Attributions
por: Ferreira, Pedro, et al.
Publicado: (2024)

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations
por: Dimgba, Martha O., et al.
Publicado: (2025)

Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
por: Rani, Arti, et al.
Publicado: (2025)

VIGIL: An Extensible System for Real-Time Detection and Mitigation of Cognitive Bias Triggers
por: Kang, Bo, et al.
Publicado: (2026)

Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation
por: Kreutzer, Julia, et al.
Publicado: (2025)

Mitigating the Bias of Large Language Model Evaluation
por: Zhou, Hongli, et al.
Publicado: (2024)