Papers by Abdulfattah Safa

2 papers
PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset (2024.findings-acl)

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Challenge: Recent studies have focused on whether large language models are capable of planning or executing plans.
Approach: They propose an abductive reasoning task using wikiHow to test the effectiveness of small models over large models.
Outcome: The proposed task demonstrates the effectiveness of small models over large models in most scenarios.
A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding (2025.naacl-long)

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Challenge: Existing approaches to DST are limited by their computational resources or lack flexibility to adapt to new slots.
Approach: They propose a system that integrates domain classification and DST in a single pipeline and uses self-refining prompts to adapt dynamically.
Outcome: The proposed system improves on existing methods on multiWOZ datasets and provides 20% better Joint Goal Accuracy (JGA) over existing methods with 90% fewer requests to the LLM API.

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