Responsible AI
2,130 papers
Papers per year
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Papers
Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
ACL 2025
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
ICML 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders
NAACL 2025
Intrinsic Linguistic Bias in Formal vs. Informal Bengali Pragmatics with Progressive Context Inflation
IJCNLP 2025
Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models
NAACL 2025
Investigating and Mitigating Undesirable Biases in Large Language Models
AAAI 2025
Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception
COLING 2025
Investigating Gender Bias in Text-to-Audio Generation Models
Interspeech 2025
Investigating Value-Reasoning Reliability in Small Large Language Models
EMNLP 2025
InvisMark: Invisible and Robust Watermarking for AI-Generated Image Provenance
WACV 2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
EMNLP 2025
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
ICLR 2025
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
SemEval 2025
IslamicEval 2025: The First Shared Task of Capturing LLMs Hallucination in Islamic Content
EMNLP 2025
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
ICML 2025
Is Your Multimodal Language Model Oversensitive to Safe Queries?
ICLR 2025
Iterative Multilingual Spectral Attribute Erasure
EMNLP 2025
Iterative Prompt Refinement for Safer Text-to-Image Generation
EMNLP 2025
It’s My Data Too: Private ML for Datasets with Multi-User Training Examples
ICML 2025
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
ICLR 2025
Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
EMNLP 2025
JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models
ACL 2025
Joint Vision-Language Social Bias Removal for CLIP
CVPR 2025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
ACL 2025