---
title: "Who cites Hiroya Takamura — 200 papers of our library"
description: "200 papers of the Elamur Research library cite the works of Hiroya Takamura, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/hiroya-takamura/cited-by/"
---
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# Who cites Hiroya Takamura

200 citations of their works from 200 papers of our library (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · [← Hiroya Takamura](https://md.research.elamur.ai/free/en/authors/hiroya-takamura/)

1. **[Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,396 citations*
2. **[Extracting Product Features and Opinions from Reviews](https://md.research.elamur.ai/free/en/papers/popescu-2005-extracting-product-features-opinions-reviews/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Ana-Maria Popescu, Oren Etzioni*2005 · 1,905 citations*
3. **[Opinion Word Expansion and Target Extraction through Double Propagation](https://md.research.elamur.ai/free/en/papers/qiu-2011-opinion-word-expansion-target-extraction/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Guang Qiu, Bing Liu, Jiajun Bu, et al.*2011 · 1,197 citations*
4. [**Plug and Play Language Models: A Simple Approach to Controlled Text Generation arXiv:1912.02164**Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.*2019 · 567 citations*](https://md.research.elamur.ai/free/en/papers/dathathri-2019-plug-play-language-models-simple/)
5. **[Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William L. Hamilton, Kevin Clark, Jure Leskovec, et al.*2016 · 434 citations*
6. **[Controlling Linguistic Style Aspects in Neural Language Generation](https://md.research.elamur.ai/free/en/papers/ficler-2017-controlling-linguistic-style-aspects-neural/) [Workshop on Stylistic Variation](https://md.research.elamur.ai/free/en/venues/workshop-on-stylistic-variation/)**Jessica Ficler, Yoav Goldberg*2017 · 427 citations*
7. **[Controllable Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/fan-2018-controllable-abstractive-summarization/) [Workshop on Neural Machine Translation and Generation](https://md.research.elamur.ai/free/en/venues/workshop-on-neural-machine-translation-and-generation/)**Angela Fan, David Grangier, Michael Auli*2018 · 424 citations*
8. **[Phrase Dependency Parsing for Opinion Mining](https://md.research.elamur.ai/free/en/papers/wu-2009-phrase-dependency-parsing-opinion-mining/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanbin Wu, Qi Zhang, Xuanjing Huang, et al.*2009 · 423 citations*
9. **[What makes a good conversation? How controllable attributes affect human judgments](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abigail See, Stephen Roller, Douwe Kiela, et al.*2019 · 372 citations*
10. [**Kimi K2: Open Agentic Intelligence arXiv:2507.20534**Kimi Team, Yifan Bai, Yiping Bao, et al.*2025 · 331 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k2-open-agentic/)
11. **[GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 319 citations*
12. **[Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emily Dinan, Angela Fan, Adina Williams, et al.*2020 · 266 citations*
13. **[Abstract Meaning Representation for Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/liao-2018-abstract-meaning-representation-multi-document/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Kexin Liao, Logan Lebanoff, Fei Liu*2018 · 167 citations*
14. **[Aspect-Controllable Opinion Summarization](https://md.research.elamur.ai/free/en/papers/amplayo-2021-aspect-controllable-opinion-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata*2021 · 114 citations*
15. [**Olmo 3 arXiv:2512.13961**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
16. **[Data-to-text Generation with Macro Planning](https://md.research.elamur.ai/free/en/papers/puduppully-2021-data-text-generation-macro-planning/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ratish Puduppully, Mirella Lapata*2021 · 98 citations*
17. [**A Long Way to Go: Investigating Length Correlations in RLHF arXiv:2310.03716**Prasann Singhal, Tanya Goyal, Jiacheng Xu, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/singhal-2023-long-way-go-investigating-length/)
18. **[InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*

182 more citing papers of our library have no page here yet.

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