Papers by Kristina Kobrock
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. |
Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction (2024.lrec-main)
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| Challenge: | Concept-level reference game allows speakers to communicate concepts at different levels of abstraction and in different contexts. |
| Approach: | They use a symbolic dataset that disentangles concept type and context to study the influence of these factors on the emerging language. |
| Outcome: | The proposed model disentangles concept type and context to study the communication of concepts at different levels of abstraction and in different contexts. |