🧑‍🔬 Who cites Minghan Li

106 citations of their works from 105 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← Minghan Li

1. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
2. Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
3. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 130 citations
4. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
5. Unifying Multimodal Retrieval via Document Screenshot EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP)Xueguang Ma, Sheng-Chieh Lin, Minghan Li, et al.2024 · 61 citations
6. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
7. REAL-MM-RAG: A Real-World Multi-Modal Retrieval BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Navve Wasserman, Roi Pony, Oshri Naparstek, et al.2025 · 22 citations
8. VISA: Retrieval Augmented Generation with Visual Source AttributionAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Shengyao Zhuang, Bevan Koopman, et al.2025 · 22 citations
9. DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
10. ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)António Loison, Quentin Macé, Antoine Edy, et al.2026 · 7 citations
11. Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge FrameworkFindings of the Association for Computational LinguisticsYibo Yan, Mingdong Ou, Yi Cao, et al.2026 · 2 citations
12. QuALA-NL: Question & Answer with Legal Attribution in DutchLanguage Resources and Evaluation Conference (LREC)Romy A.N. van Drie, Roos M. Bakker, Daan L. Di Scala, et al.2026 · 1 citation
13. LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish DocumentsarXiv:2608.21714Omar El Bachyr, Fred Philippy, Laura Maria Bernardy, et al.2026
14. MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.2026

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