Co-occurring keywords · papers mentioning both
Papers
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies
ACL 2024
Characterising Interventions in Causal Games
UAI 2024
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
NAACL 2024
Compromesso! Italian Many-Shot Jailbreaks undermine the safety of Large Language Models
ACL 2024
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
ICLR 2024
Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems
AAAI 2024
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
ACL 2024
Discovering Agents (Abstract Reprint)
AAAI 2024
Disinformation Capabilities of Large Language Models
ACL 2024
Diversity-Aware Annotation for Conversational AI Safety
COLING 2024
Do LLMs Know to Respect Copyright Notice?
EMNLP 2024
Do-Not-Answer: Evaluating Safeguards in LLMs
EACL 2024
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
NAACL 2024
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
NeurIPS 2024
Flames: Benchmarking Value Alignment of LLMs in Chinese
NAACL 2024
Fundamental Limitations of Alignment in Large Language Models
ICML 2024
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
ICLR 2024
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation
EMNLP 2024
HonestLLM: Toward an Honest and Helpful Large Language Model
NeurIPS 2024
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
ACL 2024
How should Conversational Agent systems respond to sexual harassment?
EACL 2024
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
ICLR 2024
Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation
COLING 2024
Improving Alignment and Robustness with Circuit Breakers
NeurIPS 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
NeurIPS 2024