Papers by Haoyang Ling

1 papers
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes (2024.acl-long)

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Challenge: Complex reasoning ability is one of the most important features of Large Language Models.
Approach: They propose a new benchmark that measures the reasoning ability of Large Language Models . it contains 900 algorithmic questions belonging to the NP-Hard complexity class .
Outcome: The proposed benchmark contains 900 questions belonging to the NP-Hard complexity class and is updated on a monthly basis.

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