Who cites «FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models»
- DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuoqun Li, Haiyang Yu, Xuanang Chen, et al.2025 · 10 citations
- MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.2026 · 5 citations
- CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
- KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, et al.2026 · 1 citation
- An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QAFindings of the Association for Computational LinguisticsSaransh Sharma, Pritika Ramu, Aparna Garimella, et al.2026
- Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QALanguage Resources and Evaluation Conference (LREC)Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.2026
- Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
- MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop InferenceFindings of the Association for Computational LinguisticsJeonghyun Park, Ingeol Baek, Seunghyun Yoon, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/zhu-2024-fanoutqa-multi-hop-multi-document/cited-by/