Papers with decision making process

2 papers
Graph Embeddings for Argumentation Quality Assessment (2022.findings-emnlp)

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Challenge: Argumentation is the process by which arguments are constructed, compared, evaluated in several respects and judged in order to establish whether any of them is warranted.
Approach: They propose to annotate 1908 arguments tagged with quality facets from a resource of 402 persuasive essays and to use them to create a neural architecture that takes into account the support and attack relations holding among the arguments.
Outcome: The proposed neural architecture outperforms state-of-the-art and standard arguments on the persuasive essays dataset.
Efficient Sequential Decision Making with Large Language Models (2024.emnlp-main)

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Challenge: Existing approaches to retrain or finetune large language models (LLMs) for decision making suffer from computational burden of gradient updates.
Approach: They propose a model selection algorithm that leverages online model selection algorithms to efficiently incorporate LLMs agents into sequential decision making.
Outcome: The proposed approach outperforms both traditional decision making algorithms and vanilla LLM agents on a large-scale Amazon dataset.

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