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Responsible AI

1991 directly classified papers

Papers per year

Papers

AraSafe: Benchmarking Safety in Arabic LLMs 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
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams 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
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
LLMs Reproduce Stereotypes of Sexual and Gender Minorities EMNLP 2025
Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts EMNLP 2025
InFact: Informativeness Alignment for Improved LLM Factuality EMNLP 2025
LlmFixer: Fix the Helpfulness of Defensive Large Language Models EMNLP 2025
CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor EMNLP 2025
SURE: Safety Understanding and Reasoning Enhancement for Multimodal Large Language Models EMNLP 2025
On the Convergence of Moral Self-Correction in Large Language Models AACL 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning ACL 2025