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Responsible AI

2,003 papers

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Papers

A Group Fairness Lens for Large Language Models EMNLP 2025
Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment EMNLP 2025
FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking EMNLP 2025
Proxy Barrier: A Hidden Repeater Layer Defense Against System Prompt Leakage and Jailbreaking EMNLP 2025
AraSafe: Benchmarking Safety in Arabic LLMs EMNLP 2025
AIRepr: An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science EMNLP 2025
MisinfoBench: A Multi-Dimensional Benchmark for Evaluating LLMs’ Resilience to Misinformation EMNLP 2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025
Acquiescence Bias in Large Language Models EMNLP 2025
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025
MPTA: MultiTask Personalization Assessment EMNLP 2025
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 2025
Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models EMNLP 2025
Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models EMNLP 2025
Social Bias Evaluation for Large Language Models Requires Prompt Variations EMNLP 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025
Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare EMNLP 2025
Can You Trick the Grader? Adversarial Persuasion of LLM Judges EMNLP 2025
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation EMNLP 2025
Profiling LLM’s Copyright Infringement Risks under Adversarial Persuasive Prompting EMNLP 2025
Benchmarking and Improving LLM Robustness for Personalized Generation EMNLP 2025
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025
On Guardrail Models’ Robustness to Mutations and Adversarial Attacks EMNLP 2025
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI EMNLP 2025