{CAISA} at {SemEval}-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval
We leveraged {LLaMA}, utilizing its ability to evaluate the relevance of retrieved claims within a retrieval-based fact-checking framework. This approach aimed to explore the impact of large language models ({LLMs}) on retrieval tasks and assess their effectiveness in enhancing fact-checking accuracy. Additionally, we integrated Jina embeddings v2 and the {MPNet} multilingual sentence transformer to filter and rank a set of 500 candidate claims. These refined claims were then used as input for {LLaMA}, ensuring that only the most contextually relevant ones were assessed.
- Published in:
Proceedings of the 19th International Workshop on Semantic Evaluation ({SemEval}-2025) - Type:
Inproceedings - Year:
2025 - Source:
https://aclanthology.org/2025.semeval-1.183/
Citation information
: {CAISA} at {SemEval}-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval, Proceedings of the 19th International Workshop on Semantic Evaluation ({SemEval}-2025), 2025, 1377--1382, July, Association for Computational Linguistics, https://aclanthology.org/2025.semeval-1.183/, Haroon.etal.2025a,
@Inproceedings{Haroon.etal.2025a,
author={Haroon, Muqaddas; Ashraf, Shaina; Baris, Ipek; Flek, Lucie},
title={{CAISA} at {SemEval}-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval},
booktitle={Proceedings of the 19th International Workshop on Semantic Evaluation ({SemEval}-2025)},
pages={1377--1382},
month={July},
publisher={Association for Computational Linguistics},
url={https://aclanthology.org/2025.semeval-1.183/},
year={2025},
abstract={We leveraged {LLaMA}, utilizing its ability to evaluate the relevance of retrieved claims within a retrieval-based fact-checking framework. This approach aimed to explore the impact of large language models ({LLMs}) on retrieval tasks and assess their effectiveness in enhancing fact-checking accuracy. Additionally, we integrated Jina embeddings v2 and the {MPNet} multilingual sentence transformer...}}