Papers with domain-specific scenarios

2 papers
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation (2024.findings-acl)

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Challenge: Existing approaches to evaluate open domain dialogues have a one-to-many problem . existing approaches lack commonsense reasoning biases and perform poorly in domain-specific scenarios.
Approach: They propose a framework that leverages both a small, specialised model and LLMs for the evaluation of open-domain dialogues.
Outcome: The proposed framework achieves state-of-the-art performance in both classification and evaluation tasks and exhibits better correlation with human judgements.
StructuThink: Reasoning with Task Transition Knowledge for Autonomous LLM-Based Agents (2025.findings-emnlp)

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Challenge: StructuThink framework enhances LLMs' ability to ground decisions in domain-specific scenarios.
Approach: They propose a knowledge-structured reasoning framework that enhances LLM-based agents with explicit decision constraints.
Outcome: The proposed framework achieves higher task success rates and more efficient action sequences than baseline methods.

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