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Responsible AI

1991 directly classified papers

Papers per year

Papers

KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation EMNLP 2024

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024

Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models EMNLP 2024

SLM as Guardian: Pioneering AI Safety with Small Language Model EMNLP 2024

Course-Correction: Safety Alignment Using Synthetic Preferences EMNLP 2024

Countering Hateful and Offensive Speech Online - Open Challenges EMNLP 2024

Reformatted Alignment EMNLP 2024

A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models EMNLP 2024

PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models EMNLP 2024

Can AI Relate: Testing Large Language Model Response for Mental Health Support EMNLP 2024

Privacy Evaluation Benchmarks for NLP Models EMNLP 2024

A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios EMNLP 2024

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models EMNLP 2024

Evaluating Moral Beliefs across LLMs through a Pluralistic Framework EMNLP 2024

Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts EMNLP 2024

Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions EMNLP 2024

Irrelevant Alternatives Bias Large Language Model Hiring Decisions EMNLP 2024

A Study of Implicit Ranking Unfairness in Large Language Models EMNLP 2024

On Diversified Preferences of Large Language Model Alignment EMNLP 2024

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions EMNLP 2024

A Survey on Detection of LLMs-Generated Content EMNLP 2024

Can LLM be a Personalized Judge? EMNLP 2024

Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration EMNLP 2024

Gender Identity in Pretrained Language Models: An Inclusive Approach to Data Creation and Probing EMNLP 2024

Resilience of Large Language Models for Noisy Instructions EMNLP 2024