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Responsible AI

1991 directly classified papers

Papers per year

Papers

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian EMNLP 2025
Human-AI Moral Judgment Congruence on Real-World Scenarios: A Cross-Lingual Analysis EMNLP 2025
Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration EMNLP 2025
Brown Like Chocolate: How Vision-Language Models Associate Skin Tone with Food Colors EMNLP 2025
Insights from a Disaggregated Analysis of Kinds of Biases in a Multicultural Dataset EMNLP 2025
On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG AAAI 2025
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers AAAI 2025
Training on the Benchmark Is Not All You Need AAAI 2025
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI 2025
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM AAAI 2025
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning AAAI 2025
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models AAAI 2025
Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards AAAI 2025
MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models AAAI 2025
RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios? AAAI 2025
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs AAAI 2025
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models AAAI 2025
Certified Trustworthiness in the Era of Large Language Models AAAI 2025
Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector AAAI 2025
To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices AAAI 2025
We Are AI: Taking Control of Technology AAAI 2025
Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy AAAI 2025
Investigating and Mitigating Undesirable Biases in Large Language Models AAAI 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025