Frans Oliehoek, Christof Monz, Kata Naszádi
We lifted 2 functions out of this paper's own repositories and ran 2 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| naszka/rsa_backward | canonical | 2 of 2 |
| Function | Status | Where it lives |
|---|---|---|
| generate_distributions | Ran | naszka/rsa_backward/rsa_data.py pointer only (licence: NONE) · get_code("e2d8cb048e242257") |
| init_vocab | Ran | naszka/rsa_backward/rsa_data.py pointer only (licence: NONE) · get_code("bc6dd3686fa7fee5") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
This paper explores the impact of variable pragmatic competence on communicative success through simulating language learning and conversing between speakers and listeners with different levels of reasoning abilities. Through studying this interaction, we hypothesize that matching levels of reasoning between communication partners would create a more beneficial environment for communicative success and language learning. Our research findings indicate that learning from more explicit, literal language is advantageous, irrespective of the learner's level of pragmatic competence. Furthermore, we find that integrating pragmatic reasoning during language learning, not just during evaluation, significantly enhances overall communication performance. This paper provides key insights into the importance of aligning reasoning levels and incorporating pragmatic reasoning in optimizing communicative interactions.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2410.05851")
get_code_for_paper("2410.05851")
have("2410.05851")
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