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    <abstract>Thefirst approach leverages advanced LLMs, employing a chain-of-thought prompting strategywith one-shot learning and Google snippets forcontext retrieval, demonstrating superior performance. The second approach utilizes traditional NLP analysis techniques, including semantic ranking, token-level extraction, and rigorous data cleaning, to identify hallucinations</abstract>
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%0 Conference Proceedings
%T VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations
%A Morillo, Anderson
%A Puertas, Edwin
%A Martinez Santos, Juan Carlos
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F morillo-etal-2025-verbanexai
%X Thefirst approach leverages advanced LLMs, employing a chain-of-thought prompting strategywith one-shot learning and Google snippets forcontext retrieval, demonstrating superior performance. The second approach utilizes traditional NLP analysis techniques, including semantic ranking, token-level extraction, and rigorous data cleaning, to identify hallucinations
%U https://aclanthology.org/2025.semeval-1.202/
%P 1534-1541

Markdown (Informal)

[VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations](https://aclanthology.org/2025.semeval-1.202/) (Morillo et al., SemEval 2025)

• VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations (Morillo et al., SemEval 2025)

ACL

• Anderson Morillo, Edwin Puertas, and Juan Carlos Martinez Santos. 2025. VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1534–1541, Vienna, Austria. Association for Computational Linguistics.