---
title: "Who cites Guillaume Bouchard — 511 papers of our library"
description: "511 papers of the Elamur Research library cite the works of Guillaume Bouchard, found in their bibliographies; the most cited first."
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---
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# Who cites Guillaume Bouchard

511 citations of their works from 511 papers of our library (of the 149,439 whose bibliographies we read) · 37 with a page here, the most cited first · [← Guillaume Bouchard](https://md.research.elamur.ai/free/en/authors/guillaume-bouchard/)

1. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,014 citations*
2. **[BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions](https://md.research.elamur.ai/free/en/papers/clark-2019-boolq-exploring-surprising-difficulty-natural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.*2019 · 1,330 citations*
3. **[PubMedQA: A Dataset for Biomedical Research Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2019-pubmedqa-dataset-biomedical-research-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qiao Jin, Bhuwan Dhingra, Zhengping Liu, et al.*2019 · 1,174 citations*
4. [**RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space arXiv:1902.10197**Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, et al.*2019 · 1,073 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-rotate-knowledge-graph-embedding-relational/)
5. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,066 citations*
6. [**TuckER: Tensor Factorization for Knowledge Graph Completion arXiv:1901.09590**Ivana Balažević, Carl Allen, Timothy M. Hospedales*2019 · 799 citations*](https://md.research.elamur.ai/free/en/papers/balazevic-2019-tucker-tensor-factorization-knowledge-graph/)
7. **[Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Apoorv Saxena, Aditay Tripathi, Partha Talukdar*2020 · 671 citations*
8. **[Low-Dimensional Hyperbolic Knowledge Graph Embeddings](https://md.research.elamur.ai/free/en/papers/chami-2020-low-dimensional-hyperbolic-knowledge-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ines Chami, Adva Wolf, Da-Cheng Juan, et al.*2020 · 429 citations*
9. **[Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction](https://md.research.elamur.ai/free/en/papers/verga-2018-simultaneously-self-attending-all-mentions/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Verga, Emma Strubell, Andrew McCallum*2018 · 353 citations*
10. [**Poincaré Embeddings for Learning Hierarchical Representations arXiv:1705.08039**Maximilian Nickel, Douwe Kiela*2017 · 336 citations*](https://md.research.elamur.ai/free/en/papers/nickel-2017-poincare-embeddings-learning-hierarchical-representations/)
11. **[CoLAKE: Contextualized Language and Knowledge Embedding](https://md.research.elamur.ai/free/en/papers/sun-2020-colake-contextualized-language-knowledge-embedding/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tianxiang Sun, Yunfan Shao, Xipeng Qiu, et al.*2020 · 239 citations*
12. **[Open-Domain Question Answering Goes Conversational via Question Rewriting](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 228 citations*
13. [**End-to-End Differentiable Proving arXiv:1705.11040**Tim Rocktäschel, Sebastian Riedel*2017 · 188 citations*](https://md.research.elamur.ai/free/en/papers/rocktaschel-2017-end-end-differentiable-proving/)
14. **[Reasoning Over Paragraph Effects in Situations](https://md.research.elamur.ai/free/en/papers/lin-2019-reasoning-over-paragraph-effects-situations/) [Workshop on Machine Reading for Question Answering](https://md.research.elamur.ai/free/en/venues/mrqa/)**Kevin Lin, Oyvind Tafjord, Peter Clark, et al.*2019 · 176 citations*
15. [**Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction arXiv:2106.06935**Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, et al.*2021 · 159 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-neural-bellman-ford-networks-general/)
16. **[doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset](https://md.research.elamur.ai/free/en/papers/feng-2020-doc2dial-goal-oriented-document-grounded/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Song Feng, Hui Wan, Chulaka Gunasekara, et al.*2020 · 152 citations*
17. **[Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/bartolo-2020-beat-ai-investigating-adversarial-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Max Bartolo, Alastair Roberts, Johannes Welbl, et al.*2020 · 141 citations*
18. **[Natural Language Reasoning, A Survey](https://md.research.elamur.ai/free/en/papers/yu-2023-natural-language-reasoning-survey/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Fei Yu, Hongbo Zhang, Prayag Tiwari, et al.*2023 · 130 citations*
19. **[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/nathani-2019-learning-attention-based-embeddings-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deepak Nathani, Jatin Chauhan, Charu Sharma, et al.*2019 · 108 citations*
20. **[Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting](https://md.research.elamur.ai/free/en/papers/chen-2023-dipping-plms-sauce-bridging-structure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Chen, Yufei Wang, Aixin Sun, et al.*2023 · 75 citations*
21. [**A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering arXiv:2005.05257**Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme*2020 · 73 citations*](https://md.research.elamur.ai/free/en/papers/holzenberger-2020-dataset-statutory-reasoning-tax-law/)
22. **[ChatQA: Surpassing GPT-4 on Conversational QA and RAG](https://md.research.elamur.ai/free/en/papers/liu-2024-chatqa-surpassing-gpt-4-conversational/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zihan Liu, Wei Ping, Rajarshi Roy, et al.*2024 · 58 citations*
23. [**English Machine Reading Comprehension Datasets: A Survey**Daria Dzendzik, Jennifer Foster, Carl Vogel*2021 · 54 citations*](https://md.research.elamur.ai/free/en/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/)
24. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dawei Li, Zhen Tan, Tianlong Chen, et al.*2024 · 30 citations*
25. [**SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference**Martin Schmitt, Hinrich Schütze*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-sherliic-typed-event-focused-lexical/)
26. [**TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs arXiv:2402.12309**Siheng Xiong, Yuan Yang, Faramarz Fekri, et al.*2024 · 25 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-tilp-differentiable-learning-temporal-logical/)
27. **[InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions](https://md.research.elamur.ai/free/en/papers/wu-2023-inscit-information-seeking-conversations-mixed/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zeqiu Wu, Ryu Parish, Hao Cheng, et al.*2023 · 23 citations*
28. [**ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering arXiv:2407.16931**Xiuying Chen, Tairan Wang, Taicheng Guo, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-scholarchemqa-unveiling-power-language-models/)
29. [**Data-driven Discovery with Large Generative Models arXiv:2402.13610**Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2024-data-driven-discovery-large-generative/)
30. [**Understanding Finetuning for Factual Knowledge Extraction from Language Models arXiv:2301.11293**Mehran Kazemi, Sid Mittal, Deepak Ramachandran*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kazemi-2023-understanding-finetuning-factual-knowledge-extraction/)
31. [**From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey arXiv:2108.11451**Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marra-2021-statistical-relational-neurosymbolic-artificial/)
32. **[Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-joint-knowledge-base-completion-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinan Liu, Dongying Lin, Sigang Luo, et al.*2026 · 2 citations*
33. **[When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification](https://md.research.elamur.ai/free/en/papers/zhao-2026-when-what-ask-askbench-rubric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiale Zhao, Ke Fang, Lu Cheng*2026 · 2 citations*
34. **[GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/xie-2026-gs-quant-granular-semantic-generative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qizhuo Xie, Yunhui Liu, Yu Xing, et al.*2026*
35. **[MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models](https://md.research.elamur.ai/free/en/papers/xie-2026-maki-multi-layer-aligned-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiwen Xie, Xin Wang, Guangyou Zhou, et al.*2026*
36. **[Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*
37. **[Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021*

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

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