Papers by Thanh-Do Nguyen

2 papers
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM (2025.findings-acl)

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Challenge: Existing verification methods rely on unstructured text corpora to break down claims . despite strong reasoning abilities, modern LLMs struggle with modular pipelines .
Approach: They propose a framework that integrates knowledge graphs with LLM reasoning . they propose KGs provide structured, semantically rich representations .
Outcome: The proposed framework outperforms baselines on the FactKG dataset by 9%-12% accuracy points across multiple categories.
Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation (2025.naacl-long)

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Challenge: Existing approaches to claim verification are based on decomposing claims into sub-claims and querying a knowledge base to resolve hidden or ambiguous entities.
Approach: They propose a framework that leverages the reasoning and comprehension abilities of LLM agents to solve ambiguous entities in a graph.
Outcome: The proposed framework achieves competitive performance compared to baselines across benchmarks.

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