Papers with routing function
Combining Parameter-efficient Modules for Task-level Generalisation (2023.eacl-main)
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| Challenge: | A modular design encourages neural models to disentangle and recombine different facets of knowledge to generalise more systematically to new tasks. |
| Approach: | They propose a modular neural network where a subset of latent skills is associated with a parameter-efficient model adapter. |
| Outcome: | The proposed model improves sample efficiency and few-shot generalisation in supervised learning compared to baselines. |
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models (2024.naacl-long)
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| Challenge: | Existing ensemble methods for Large Language Models focus on reward model ranking of outputs, leading to significant computation overhead. |
| Approach: | They propose a reward-guided routing method distilling rewards on training queries to train a routing function. |
| Outcome: | The proposed method outperforms the best single model and ranks first on 44% of tasks. |