conftrace_

trustworthy ai

43 papers

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Co-occurring keywords

large language model (13587) question answering (2963) model robustness (480) trustworthy machine learning (14) hallucination detection (530) adversarial attack (1621) model interpretability (519) ai safety (235) explainable ai (480) bias detection (419)

Papers

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