Cover Image

LLM-Guided Synthetic Augmentation (LGSA) for Mitigating Bias in AI Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karri, Sai Suhruth Reddy, Nallapuneni, Yashwanth Sai, Mallireddy, Laxmi Narasimha Reddy, G, Gopichand
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
by: Kasu, Sai Kartheek Reddy
Published: (2025)

The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
by: Adapala, Sai Teja Reddy, et al.
Published: (2025)

Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)

No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
by: Kumar, Charaka Vinayak, et al.
Published: (2025)

SV3.3B: A Sports Video Understanding Model for Action Recognition
by: Kodathala, Sai Varun, et al.
Published: (2025)

Token-Driven GammaTune: Adaptive Calibration for Enhanced Speculative Decoding
by: Gautam, Aayush, et al.
Published: (2025)

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)

Multimodal Detection of Fake Reviews using BERT and ResNet-50
by: Veluru, Suhasnadh Reddy, et al.
Published: (2025)

The Path of Least Resistance: Guiding LLM Reasoning Trajectories with Prefix Consensus
by: Jindal, Ishan, et al.
Published: (2026)

Polypersona: Persona-Grounded LLM for Synthetic Survey Responses
by: Dash, Tejaswani, et al.
Published: (2025)

Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT
by: Reddy, Harishwar, et al.
Published: (2025)

Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data
by: Kattamuri, Ashish, et al.
Published: (2025)

Systematic Exploration of Dialogue Summarization Approaches for Reproducibility, Comparative Assessment, and Methodological Innovations for Advancing Natural Language Processing in Abstractive Summarization
by: Gogireddy, Yugandhar Reddy, et al.
Published: (2024)

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
by: Li, Miaomiao, et al.
Published: (2025)

SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems
by: Patil, KrishnaSaiReddy
Published: (2026)

keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection
by: Vemula, Saketh Reddy, et al.
Published: (2025)

Grammar Search for Multi-Agent Systems
by: Singh, Mayank, et al.
Published: (2025)

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

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

PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training
by: Bobbili, Sarat Chandra, et al.
Published: (2025)

Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic
by: Mankarious, Saad, et al.
Published: (2026)

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

Adaptive Sensor Placement Inspired by Bee Foraging: Towards Efficient Environment Monitoring
by: Sathi, Sai Krishna Reddy
Published: (2024)

Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
by: Parihar, Shweta, et al.
Published: (2026)

Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes
by: Powers, Maximus, et al.
Published: (2024)

FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
by: Zhang, Zhehao, et al.
Published: (2025)

LegalCore: A Dataset for Event Coreference Resolution in Legal Documents
by: Wei, Kangda, et al.
Published: (2025)

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems
by: Patil, KrishnaSaiReddy
Published: (2026)

CivicShield: A Cross-Domain Defense-in-Depth Framework for Securing Government-Facing AI Chatbots Against Multi-Turn Adversarial Attacks
by: Patil, KrishnaSaiReddy
Published: (2026)

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

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
by: Zhang, Zixuan, et al.
Published: (2024)

CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
by: Nair, Pranav Ajit, et al.
Published: (2024)

FedOnco-Bench: A Reproducible Benchmark for Privacy-Aware Federated Tumor Segmentation with Synthetic CT Data
by: Marella, Viswa Chaitanya, et al.
Published: (2025)

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

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

Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)

What Would You Ask When You First Saw $a^2+b^2=c^2$? Evaluating LLM on Curiosity-Driven Questioning
by: Javaji, Shashidhar Reddy, et al.
Published: (2024)

Modeling the Attack: Detecting AI-Generated Text by Quantifying Adversarial Perturbations
by: Teja, Lekkala Sai, et al.
Published: (2025)

Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
by: Zhang, Hongbin, et al.
Published: (2026)

ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations
by: Ghosh, Sreyan, et al.
Published: (2023)