Papers by Josef Pichlmeier
What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing (2026.eacl-srw)
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| Challenge: | Modern large language model (LLM) systems often route inputs to specialized experts to improve accuracy, efficiency, and robustness. |
| Approach: | They propose a lightweight trainable in-model readout that constructs the routing vector directly from token-level hidden states. |
| Outcome: | The proposed model reduces language and source-dataset driven clustering and results in more topic-aligned domains. |