trustworthy ai

Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models AAAI 2026 From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis AAAI 2026 Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications AAAI 2026 The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going? AAAI 2026 Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact AAAI 2026 Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint) AAAI 2026 Towards Trustworthy Multimodal AI Systems AAAI 2026 Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards AAAI 2025 Data Attribution: A Data-Centric Approach for Trustworthy AI Development AAAI 2025 Do LLMs estimate uncertainty well in instruction-following? ICLR 2025 Harnessing Robust Statistics for Trustworthy AI AAAI 2025 OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025 Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025 Rethinking Prompt-based Debiasing in Large Language Model ACL 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 Trustworthy AI Meets Educational Assessment: Challenges and Opportunities AAAI 2025 Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models AAAI 2025 Trustworthy Medical Question Answering: An Evaluation-Centric Survey EMNLP 2025 Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA EMNLP 2025 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NeurIPS 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NeurIPS 2024 Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges NAACL 2024 TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024 Towards Trustworthy Autonomous Systems via Conversations and Explanations AAAI 2024