Leveraging LLMs in Scholarly Knowledge Graph Question Answering

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

J. Devlin, M. Chang, K. Lee, K. Toutanova, · 2019

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Question Answering on Scholarly Knowledge Graphs,

M. Y. Jaradeh, M. Stocker, S. Auer, · 2020

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Language Models are Few-Shot Learners,

T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, D. Amodei, · 2020

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,

C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, P. J. Liu, · 2020

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LiteratureQA: A Question Answering Corpus with Graph Knowledge on Academic Literature,

H. Wang, L. Zhou, W. Zhang, X. Wang, · 2021

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Spark NLP: Natural language understanding at scale,

V. Kocaman, D. Talby, · 2021

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An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels,

T. Sorensen, J. Robinson, C. Rytting, A. Shaw, K. Rogers, A. Delorey, M. Khalil, N. Fulda, D. Wingate, · 2022

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A survey on complex factual question answering,

L. Zhang, J. Zhang, X. Ke, H. Li, X. Huang, Z. Shao, S. Cao, X. Lv, · 2022

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DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph,

Original

D. Banerjee, S. Awale, R. Usbeck, C. Biemann, · 2023

Cited alongside, same era.

LLaMA: Open and efficient foundation language models (2023). URL: arXivpreprintarXiv:2302.13971

Original

H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, et al., · 2023

Cited alongside, same era.

GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering,

D. Banerjee, P. A. Nair, R. Usbeck, C. Biemann, · 2023

Cited alongside, same era.

Large Language Models are few(1)-shot Table Reasoners,

W. Chen, · 2023

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Large Language Models are Built-in Autoregressive Search Engines,

N. Ziems, W. Yu, Z. Zhang, M. Jiang, · 2023

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Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering,

J. Baek, A. F. Aji, A. Saffari, · 2023

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QALD-10—The 10th Challenge on Question Answering over Linked Data,

R. Usbeck, X. Yan, A. Perevalov, L. Jiang, J. Schulz, A. Kraft, C. Möller, J. Huang, J. Reineke, A.-C. N. Ngomo, et al., · 2023

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The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge,

S. Auer, D. A. Barone, C. Bartz, E. G. Cortes, M. Y. Jaradeh, O. Karras, M. Koubarakis, D. Mouromtsev, D. Pliukhin, D. Radyush, et al., · 2023

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CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges,

A. Pavao, I. Guyon, A.-C. Letournel, D.-T. Tran, X. Baro, H. J. Escalante, S. Escalera, T. Thomas, Z. Xu, · 2023

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