---
title: "Who cites OmniEval: An Omnidirectional — 11 citing papers"
description: "11 papers of the Elamur Research library cite «OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/cited-by/"
---
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# Who cites «OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain»

11 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 «OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain»](https://md.research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/)

1. [**R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning arXiv:2503.05592**Huatong Song, Jinhao Jiang, Yingqian Min, et al.*2025 · 141 citations*](https://md.research.elamur.ai/free/en/papers/song-2025-r1-searcher-incentivizing-search/)
2. **[CFQA: A Chinese Financial Question Answering Benchmark from Corporate Annual Reports](https://md.research.elamur.ai/free/en/papers/zhu-2026-cfqa-chinese-financial-question-answering/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Tianning Zhu, Mo Liu, Murathan Kurfali*2026*
3. **[FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis](https://md.research.elamur.ai/free/en/papers/yang-2026-finmragbench-realistic-complex-benchmark-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shouqing Yang, Qi Zhang, Yuhang Yang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/) — OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain