AI Safety
3,602 papers
Papers per year
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358
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1,297
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Papers
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
ICML 2024
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
ICLR 2024
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
NeurIPS 2024
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
CoRL 2024
Text Embedding Inversion Security for Multilingual Language Models
ACL 2024
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness
ACL 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NeurIPS 2024
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
ACL 2024
The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning
AAAI 2024
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas
EMNLP 2024
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
ACL 2024
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
EMNLP 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NeurIPS 2024
The power of an adversary in Glauber dynamics
COLT 2024
The Privacy Power of Correlated Noise in Decentralized Learning
ICML 2024
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
ICML 2024
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations
EMNLP 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
EMNLP 2024
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation
NAACL 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
AISTATS 2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
ACL 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
NeurIPS 2024
Tool-Augmented Reward Modeling
ICLR 2024
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
EMNLP 2024
Tools Fail: Detecting Silent Errors in Faulty Tools
EMNLP 2024