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Automatic Fact-checking in English and Telugu

arXiv 2509.26415 ↗First posted 30 Sep 2025cs.CLcited by 0

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Abstract (arXiv)

False information poses a significant global challenge, and manually verifying claims is a time-consuming and resource-intensive process. In this research paper, we experiment with different approaches to investigate the effectiveness of large language models (LLMs) in classifying factual claims by their veracity and generating justifications in English and Telugu. The key contributions of this work include the creation of a bilingual English-Telugu dataset and the benchmarking of different veracity classification approaches based on LLMs.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 22 of its 54 references that are in the map. First posted on arXiv 30 Sep 2025.

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22 of 54 references.

References · 22

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
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  5. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,975
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  7. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  8. 2023Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Methodcited by 97
  9. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 91
  10. 2021On Measures of Biases and Harms in NLPcited by 81
  11. 2022Parallel Context Windows for Large Language Modelscited by 81
  12. 2024Prompt Compression for Large Language Models: A Surveycited by 67
10 more
  1. 2024Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perceptioncited by 56
  2. 2020Scientific Claim Verification with VERT5ERINIcited by 47
  3. 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
  4. 2024Retrieval Augmented Fact Verification by Synthesizing Contrastive Argumentscited by 25
  5. 2024Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMscited by 24
  6. 2024Generative Large Language Models in Automated Fact-Checking: A Surveycited by 19
  7. 2022ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inferencecited by 9
  8. 2023To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Supportcited by 8
  9. 2023Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Mediacited by 8
  10. 2024FaaF: Facts as a Function for the evaluation of generated textcited by 5

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