🧑‍🔬 Who cites Alfio Gliozzo

181 citations of their works from 181 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · ← Alfio Gliozzo

1. Longformer: The Long-Document TransformerarXiv:2004.05150Iz Beltagy, Matthew E. Peters, Arman Cohan2020 · 3,880 citations
2. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,010 citations
3. Atlas: Few-shot Learning with Retrieval Augmented Language ModelsarXiv:2208.03299Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.2022 · 673 citations
4. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
5. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
6. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtarXiv:2210.01240Abulhair Saparov, He He2022 · 244 citations
7. Hierarchical Graph Network for Multi-hop Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yuwei Fang, Siqi Sun, Zhe Gan, et al.2020 · 243 citations
8. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
9. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
10. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wang, Xingchen Wan, Ruoxi Sun, et al.2025 · 59 citations
11. Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph SimilarityJuri Opitz, Angel Daza, Anette Frank2021 · 47 citations
12. SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey WritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchao Yan, Shiyang Feng, Jiakang Yuan, et al.2025 · 20 citations
13. StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)Xuhui Zheng, Kang An, Ziliang Wang, et al.2025 · 19 citations
14. Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Rongzhi Zhu, Xiangyu Liu, Zequn Sun, et al.2025 · 16 citations
15. Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and ChallengesarXiv:2309.12426Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, et al.2023 · 16 citations
16. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
17. AMR-TST: Abstract Meaning Representation-based Text Style TransferKaize Shi, Xueyao Sun, Li He, et al.2023 · 11 citations
18. Survey of Abstract Meaning Representation: Then, Now, FutureBehrooz Mansouri2025 · 8 citations
19. CRAFT: Training-Free Cascaded Retrieval for Tabular QAAnnual Meeting of the Association for Computational Linguistics (ACL)Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao, et al.2026 · 1 citation
20. T²-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jan Strich, Enes Kutay Isgorur, Maximilian Trescher, et al.2026 · 1 citation
21. An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMsFindings of the Association for Computational LinguisticsHengran Zhang, Keping Bi, Jiafeng Guo, et al.2026
22. Bounded Conversational Memory with Hybrid Retrieval and Evidence Highlighting for Multi-Session Dialogue SystemsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Manasa Mudunuri, Chandra Kiran Guntupalli, Shiraj Pokharel, et al.2026
23. BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsFuda Ye, Jiachuan Wang, Yongqi Zhang, et al.2026
24. EncouRAGe: Evaluating RAG Local, Reliable, and EfficientWorkshop on Multilingual Report Generation via Retrieval Augmented GenerationJan Strich, Martin Semmann, Chris Biemann2026
25. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.2026
26. G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model ReasoningFindings of the Association for Computational LinguisticsYudai Pan, Jiajie Hong, Tianzhe Zhao, et al.2026
27. IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding ModulationFindings of the Association for Computational LinguisticsYash Saxena, Ankur Padia, Kalpa Gunaratna, et al.2026
28. Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
29. MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXingchen Xiao, Heyan Huang, Runheng Liu, et al.2026
30. Mitigating Context Interference for Reliable and Efficient Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Boyang Xue, Bin Wu, Shuofei Qiao, et al.2026
31. Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHieu Man, Ro-ee Tal, Abhishek Kumar, et al.2026
32. Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHaiyan Wu, Chenchen Wang, Chaoqun Sun, et al.2026

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