🔗 Who cites «Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking»

1. VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Mark Rothermel, Marcus Kornmann, Marcus Rohrbach, et al.2026 · 3 citations
2. Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan, et al.2026 · 1 citation
3. BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-CheckingFact Extraction and VERification Workshop (FEVER)Hyunkyung Park, Arkaitz Zubiaga2026

6 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/pisarevskaya-2025-zero-shot-few-shot-learning/cited-by/