Papers with natural language understanding capabilities

1 papers
Executing Natural Language-Described Algorithms with Large Language Models: An Investigation (2024.lrec-main)

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Challenge: Recent advances in large language models (LLMs) have revolutionized the field of natural language processing and artificial intelligence, creating new SOTAs and reaching human-level language understanding performance on a series of tasks and benchmarks.
Approach: They propose to use an algorithm test set sourced from Introduction to Algorithm to assess LLMs' code execution abilities.
Outcome: The proposed model can execute programs described in natural language as long as no heavy numeric computation is involved.

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