Papers by Junan Hu

2 papers
Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? (2024.findings-naacl)

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Challenge: Existing approaches to making moral judgments are mostly bottom-up and lack explainability.
Approach: They propose a top-down framework to steer Large Language Models to perform moral reasoning with well-established moral theories.
Outcome: The proposed framework can integrate various moral theories on moral datasets.
Context-Agent: Dynamic Discourse Trees for Non-Linear Dialogue (2026.findings-acl)

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Challenge: Existing approaches to managing non-linear dialogue flow are misaligned with the intrinsically hierarchical and branching structure of natural discourse.
Approach: They propose a framework that models multi-turn dialogue history as a dynamic tree structure.
Outcome: The proposed framework enhances task completion rates and improves token efficiency across various LLMs.

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