mlsanityData to 14 Oct 2026

SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking

arXiv 2503.00955 ↗First posted 2 Mar 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

The rise of misinformation, exacerbated by Large Language Models (LLMs) like GPT and Gemini, demands robust fact-checking solutions, especially for low-resource languages like Vietnamese. Existing methods struggle with semantic ambiguity, homonyms, and complex linguistic structures, often trading accuracy for efficiency. We introduce SemViQA, a novel Vietnamese fact-checking framework integrating Semantic-based Evidence Retrieval (SER) and Two-step Verdict Classification (TVC). Our approach balances precision and speed, achieving state-of-the-art results with 78.97% strict accuracy on ISE-DSC01 and 80.82% on ViWikiFC, securing 1st place in the UIT Data Science Challenge. Additionally, SemViQA Faster improves inference speed 7x while maintaining competitive accuracy. SemViQA sets a new benchmark for Vietnamese fact verification, advancing the fight against misinformation. The source code is available at: https://github.com/DAVID-NGUYEN-S16/SemViQA.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 27 of its 42 references that are in the map. First posted on arXiv 2 Mar 2025.

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References · 27

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  5. 2024Qwen2.5 Technical Reportcited by 4,942
  6. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  7. 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,917
  8. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,375
  9. 2019TabFact: A Large-scale Dataset for Table-based Fact Verificationcited by 428
  10. 2017"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detectioncited by 363
  11. 2020InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Trainingcited by 237
  12. 2018Combining Fact Extraction and Verification with Neural Semantic Matching Networkscited by 120
15 more
  1. 2019GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verificationcited by 100
  2. 2019Reasoning Over Semantic-Level Graph for Fact Checkingcited by 69
  3. 2020ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corporacited by 63
  4. 2019BERT for Evidence Retrieval and Claim Verificationcited by 57
  5. 2023Retrieving Supporting Evidence for Generative Question Answeringcited by 31
  6. 2019Technical report on Conversational Question Answeringcited by 19
  7. 2019Team Papelo: Transformer Networks at FEVERcited by 11
  8. 2022Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verificationcited by 11
  9. 2023BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verificationcited by 11
  10. 2023Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphscited by 8
  11. 2024CFEVER: A Chinese Fact Extraction and VERification Datasetcited by 6
  12. 2018DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attentioncited by 5
  13. 2024ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Sourcecited by 4
  14. 2021Ensemble Learning Based Classification Algorithm Recommendationcited by 1
  15. 2024Music Genre Classification: Ensemble Learning with Subcomponents-level Attentioncited by 1

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