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AI Safety

2972 directly classified papers

Papers per year

Papers

Does Context Help Mitigate Gender Bias in Neural Machine Translation? EMNLP 2024
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024
Pedagogical Alignment of Large Language Models EMNLP 2024
Preference Tuning For Toxicity Mitigation Generalizes Across Languages EMNLP 2024
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks EMNLP 2024
Cognitive Bias in Decision-Making with LLMs EMNLP 2024
Policy Aggregation NIPS 2024
Stress-Testing Capability Elicitation With Password-Locked Models NIPS 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NIPS 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NIPS 2024
Implicit Personalization in Language Models: A Systematic Study EMNLP 2024
Self-Recognition in Language Models EMNLP 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models EMNLP 2024
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes NIPS 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024
Can Textual Unlearning Solve Cross-Modality Safety Alignment? EMNLP 2024
A Survey on Detection of LLMs-Generated Content EMNLP 2024
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions EMNLP 2024
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models EMNLP 2024
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024
On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate EMNLP 2024