HASSUM: Semantic Uncertainty-Guided Orchestration in Multi-Agent Systems
A novel framework named HASSUM has been introduced, which employs semantic-uncertainty-guided orchestration for hierarchical multi-agent systems. This innovative approach, outlined in a paper available on arXiv (2608.14707), tackles the difficulties of coordinating LLM-based agents amidst uncertainty. Traditional orchestration methods typically depend on fixed interaction patterns and lack mechanisms to evaluate the reliability of intermediate reasoning steps, which can lead to the propagation of errors and hallucinations. HASSUM utilizes semantic entropy and semantic density to estimate uncertainty, focusing on trust at the semantic level of answers instead of mere output probabilities. These indicators facilitate adaptive orchestration choices such as output verification, selective reprompting, and confidence-aware response selection. The framework functions independently of the underlying models, positioning it as a versatile solution for uncertainty-aware coordination. The paper was recently submitted to arXiv.
Key facts
- HASSUM is a framework for uncertainty-aware orchestration in multi-agent systems.
- It uses semantic entropy and semantic density to estimate uncertainty.
- The method enables adaptive decisions like output verification and selective reprompting.
- It operates independently of any part of the underlying models.
- The paper is available on arXiv with ID 2608.14707.
- The approach addresses error and hallucination propagation in LLM-based multi-agent systems.
- It is a general framework, not tied to specific models.
- The paper was announced as a new submission.
Entities
Institutions
- arXiv