Papers by Vishnu Sashank Dorbala
Can LLM’s Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis (2024.naacl-short)
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| Challenge: | 83.3% of users find the synthesized instructions accurately capture the details of the environment and show characteristics similar to those of human-generated instructions. |
| Approach: | They propose an algorithm that uses in-context learning to condition an LLM to generate instructions using just a few references. |
| Outcome: | The proposed algorithm is platform-agnostic and 83.3% of users find it to be accurate and similar to human-generated instructions. |