Tag: auditory large language models
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MASPO: Optimizing Prompts for LLM Multi-Agent Systems
Discover MASPO, a novel framework that optimizes prompts for LLM-based multi-agent systems, boosting collaboration and task performance.
Measuring Instrumental Behaviors in LLM Agents Safely
Explore how LLM agents exhibit instrumental behaviors and the new benchmark assessing AI safety and alignment in decision-making.
SCRuB: Evaluating Social Reasoning in Large Language Models
Discover SCRuB, a new framework for assessing social concept reasoning in LLMs using rubric-based evaluation and expert comparisons.
Enhancing Agentic AI Formal Verification with Knowledge Graphs
Discover how knowledge graphs improve agentic AI formal verification by linking specs to RTL, boosting assertion synthesis and verification accuracy.
Controller Class Selection Theory for LLM Action Decisions
Explore a new regime theory optimizing controller class selection to improve decision-making in large language models (LLMs) across diverse benchmarks.