Tag: frontier large language models
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Reducing Sycophancy in Multi-Agent AI Systems
Discover how awareness of sycophancy levels in multi-agent AI improves discussion accuracy by 10.5%, enhancing collaborative LLM outcomes.
Limits of Reinforcement Learning Alignment in AI Safety
Explore the generalization limits of reinforcement learning alignment and its impact on AI safety in large language models with compound jailbreaks analysi...
Impact of Safety Unalignment on Large Language Models
Explore how safety unalignment affects large language models, highlighting risks, performance changes, and mitigation strategies for safer AI deployment.
Enhancing Social Meaning in Large Language Models
Explore how pragmatic prompting improves social reasoning and calibration in large language models for better human-like understanding.
Malware Family Classification with Weighted LLM Ensembles
Discover a novel weighted hierarchical ensemble of large language models for accurate, zero-label malware family classification in evolving cybersecurity t...