Papers with Allen Institute dataset

1 papers
QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks (2024.lrec-main)

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Challenge: Existing Plan-and-Solve prompting methods are difficult to implement for complex questions.
Approach: They propose a plan-and-solve prompting method based on Question Decomposition Meaning Representation (QDMR) it allows LLM to generate a QDMR graph to represent problem-solving logic .
Outcome: The proposed method can represent and execute the problem-solving logic of complex questions more accurately than existing methods.

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