Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? (2024.acl-long)
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| Challenge: | Large language models (LLMs) are typically trained to follow a single instruction per inference call. |
| Approach: | They introduce a benchmark to evaluate Large language models' ability to follow one instruction per inference call. |
| Outcome: | The proposed model reduces the total inference time by 1.46 times in average since it does not require multiple inference calls. |
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