Agents generalize to novel levels of abstraction by using adaptive linguistic strategies (2025.findings-acl)
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| Challenge: | Abstract: Abstracts are fundamental to building well-generalizing models. |
| Approach: | They propose to use a concept-level reference game to generalize concepts . they find that agents can learn robust concepts based on which they can generalize . |
| Outcome: | The proposed model can generalize from generic to very specific concepts, while reusing many messages from training. |
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