Cover Image

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bae, Suyoung, Choi, YunSeok, Lee, Jee-Hyong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data
by: Bae, Suyoung, et al.
Published: (2025)

Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code Documentation
by: Bae, Suyoung, et al.
Published: (2026)

ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
by: Bae, Suyoung, et al.
Published: (2026)

Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
by: Na, CheolWon, et al.
Published: (2025)

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
by: Lee, Jihyung, et al.
Published: (2025)

TAG: A Simple Yet Effective Temporal-Aware Approach for Zero-Shot Video Temporal Grounding
by: Lee, Jin-Seop, et al.
Published: (2025)

Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
by: Liu, Zhengliang, et al.
Published: (2023)

Confidence-guided Refinement Reasoning for Zero-shot Question Answering
by: Jang, Youwon, et al.
Published: (2025)

Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
by: Hu, Zhanghao, et al.
Published: (2025)

Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
by: Sammoudi, Mohammad, et al.
Published: (2024)

None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering
by: Tam, Zhi Rui, et al.
Published: (2025)

G-MIXER: Geodesic Mixup-based Implicit Semantic Expansion and Explicit Semantic Re-ranking for Zero-Shot Composed Image Retrieval
by: Lim, Jiyoung, 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)

Research on the Application of Large Language Models in Automatic Question Generation: A Case Study of ChatGLM in the Context of High School Information Technology Curriculum
by: Chen, Yanxin, et al.
Published: (2024)

Social Bias in Popular Question-Answering Benchmarks
by: Kraft, Angelie, et al.
Published: (2025)

CAIRNS: Balancing Readability and Scientific Accuracy in Climate Adaptation Question Answering
by: Kong, Liangji, et al.
Published: (2025)

Cultural Value Differences of LLMs: Prompt, Language, and Model Size
by: Zhong, Qishuai, et al.
Published: (2024)

An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
by: Kim, Wonkyun, et al.
Published: (2024)

CountCluster: Training-Free Object Quantity Guidance with Cross-Attention Map Clustering for Text-to-Image Generation
by: Lee, Joohyeon, et al.
Published: (2025)

Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
by: Usmanova, Aida, et al.
Published: (2024)

SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India
by: Singh, Salam Michael, et al.
Published: (2024)

MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
by: Agarwal, Siddhant, et al.
Published: (2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)

LIBRA: Measuring Bias of Large Language Model from a Local Context
by: Pang, Bo, et al.
Published: (2025)

Application of Large Language Models in Automated Question Generation: A Case Study on ChatGLM's Structured Questions for National Teacher Certification Exams
by: He, Ling, et al.
Published: (2024)

Comparison of Large Language Models for Generating Contextually Relevant Questions
by: Molina, Ivo Lodovico, et al.
Published: (2024)

Zero-shot causal learning
by: Nilforoshan, Hamed, et al.
Published: (2023)

AI Safety in Generative AI Large Language Models: A Survey
by: Chua, Jaymari, et al.
Published: (2024)

GG-BBQ: German Gender Bias Benchmark for Question Answering
by: Satheesh, Shalaka, et al.
Published: (2025)

Adaptive Generation of Bias-Eliciting Questions for LLMs
by: Staab, Robin, et al.
Published: (2025)

AI Language Models Could Both Help and Harm Equity in Marine Policymaking: The Case Study of the BBNJ Question-Answering Bot
by: Ziegler, Matt, et al.
Published: (2024)

Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
by: Zhu, Wang Bill, et al.
Published: (2025)

Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts
by: Nakanishi, Akito, et al.
Published: (2025)

DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
by: Lee, Jin-Seop, et al.
Published: (2024)

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education
by: Zhao, Chengshuai, et al.
Published: (2024)

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
by: La Cava, Lucio, et al.
Published: (2026)

Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text
by: Prabhu, M Manvith, et al.
Published: (2024)

Comparing Rationality Between Large Language Models and Humans: Insights and Open Questions
by: Alsagheer, Dana, et al.
Published: (2024)