Papers by Hanwen Gu

2 papers
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning (2022.coling-1)

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Challenge: Existing methods to parse natural language into structured logical expressions have limitations due to paucity of labeled data.
Approach: They propose a scoring model to automatically learn a model-based reward . they also propose introducing a Chinese-PL/FOL dataset to compensate for paucity of labeled data .
Outcome: The proposed model outperforms competitors on several datasets.
Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation (2026.findings-acl)

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Challenge: Existing methods for long-form complex narrative generation struggle to maintain global narrative coherence and logical consistency.
Approach: They propose a framework that performs narrative planning on structural graph representations instead of direct sequential text representations.
Outcome: The proposed model outperforms representative baselines across diverse scenarios.

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