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model routing

topic3 events
papersTODAY 04:00 UTC

Study Proposes Routing Instead of Fixing to Improve Clinical LLM Answer Selection

A new arXiv paper argues that clinical LLM answers should be selected by routing between decoding strategies rather than by correcting a single model's output. The authors show that the best decoding regime depends on the query, and propose a trajectory-gated router that picks the appropriate method per question. The work aims to improve reliability without adding retrieval, fine-tuning, or external verifier infrastructure that clinical governance would need to approve.

clinical-ai/hallucination/llm-safety/papers
papersTODAY 04:00 UTC

Paper proposes residual-completion method for stateful handoffs between AI agents

A new arXiv preprint addresses the problem of transferring control between tool-using AI models without discarding work already done. The authors frame it as commitment-constrained residual completion, where a handoff must carry over accepted decisions, effects already produced, and outstanding obligations rather than restarting the task. The approach targets routing and cascade setups that cut costs by passing control between models.

agents/arxiv/tool-use/model-routing
papersSEP 12 04:00 UTC

Calibration-Aware Uncertainty Cascades for Heterogeneous Model Collaboration

A new arXiv preprint proposes a routing method for combining multiple models that uses calibration-aware uncertainty estimates to decide when to escalate a query to a larger, more expensive model. The approach aims to avoid the rigidity of trained routers, which are tied to fixed cost or accuracy trade-offs, while still balancing predictive quality against inference cost. The work targets heterogeneous model collaboration settings where different models offer complementary strengths.

research/model-routing/uncertainty/inference-cost