Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

R. Zellers, A. Holtzman, Y. Bisk, A. Farhadi, Y. Choi, Hellaswag: Can a machine really finish your sentence?, 2019. arXiv:1905.07830

Original

1905

Earlier work this paper cites.

BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,

Original

M. Lewis, Y. Liu, N. Goyal, M. Ghazvininejad, A. Mohamed, O. Levy, V. Stoyanov, L. Zettlemoyer, · 1910

Earlier work this paper cites.

F. Chollet, On the measure of intelligence, 2019. arXiv:1911.01547

Original

1911

Earlier work this paper cites.

Multilingual translation with extensible multilingual pretraining and finetuning (2020). arXiv:2008.00401

Original

Y. Tang, C. Tran, X. Li, P.-J. Chen, N. Goyal, V. Chaudhary, J. Gu, A. Fan, · 2008

Earlier work this paper cites.

A. Fan, S. Bhosale, H. Schwenk, Z. Ma, A. El-Kishky, S. Goyal, M. Baines, O. Celebi, G. Wenzek, V. Chaudhary, N. Goyal, T. Birch, V. Liptchinsky, S. Edunov, E. Grave, M. Auli, A. Joulin, Beyond english-centric multilingual machine translation, 2020. arXiv:2010.11125

Original

2010

Earlier work this paper cites.

J. Devlin, M.-W. Chang, K. Lee, K. Toutanova, Bert: Pre-training of deep bidirectional transformers for language understanding, 2019. arXiv:1810.04805

Original

2019

Earlier work this paper cites.

Language models are unsupervised multitask learners (2019)

A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever, · 2019

Earlier work this paper cites.

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

Earlier work this paper cites.

S. Lin, J. Hilton, O. Evans, Truthfulqa: Measuring how models mimic human falsehoods, 2022. arXiv:2109.07958

Original

2022

Earlier work this paper cites.

Modern baselines for sparql semantic parsing,

D. Banerjee, P. A. Nair, J. N. Kaur, R. Usbeck, C. Biemann, · 2022

Earlier work this paper cites.

Sgpt: A generative approach for sparql query generation from natural language questions,

M. R. A. H. Rony, U. Kumar, R. Teucher, L. Kovriguina, J. Lehmann, · 2022

Cited alongside, same era.

H. W. Chung, L. Hou, S. Longpre, B. Zoph, Y. Tay, W. Fedus, E. Li, X. Wang, M. Dehghani, S. Brahma, A. Webson, S. S. Gu, Z. Dai, M. Suzgun, X. Chen, A. Chowdhery, S. Narang, G. Mishra, A. Yu, V. Zhao, Y. Huang, A. Dai, H. Yu, S. Petrov, E. H. Chi, J. Dean, J. Devlin, A. Roberts, D. Zhou, Q. V. Le, J. Wei, Scaling instruction-finetuned language models, 2022. doi: 10.48550/ARXIV.2210.11416

2022

Cited alongside, same era.

Finetuned language models are zero-shot learners,

J. Wei, M. Bosma, V. Zhao, K. Guu, A. W. Yu, B. Lester, N. Du, A. M. Dai, Q. V. Le, · 2022

Cited alongside, same era.

N. Team, M. R. Costa-jussà, J. Cross, O. Çelebi, M. Elbayad, K. Heafield, K. Heffernan, E. Kalbassi, J. Lam, D. Licht, J. Maillard, A. Sun, S. Wang, G. Wenzek, A. Youngblood, B. Akula, L. Barrault, G. M. Gonzalez, P. Hansanti, J. Hoffman, S. Jarrett, K. R. Sadagopan, D. Rowe, S. Spruit, C. Tran, P. Andrews, N. F. Ayan, S. Bhosale, S. Edunov, A. Fan, C. Gao, V. Goswami, F. Guzmán, P. Koehn, A. Mourachko, C. Ropers, S. Saleem, H. Schwenk, J. Wang, No language left behind: Scaling human-centered machine translation, 2022. arXiv:2207.04672

Benchmarking the abilities of large language models for RDF knowledge graph creation and comprehension: How well do llms speak turtle?,

Original

J. Frey, L. Meyer, N. Arndt, F. Brei, K. Bulert, · 2023

Later among the works it cites.

Fine-tuned LLMs know more, hallucinate less with few-shot sequence-to-sequence semantic parsing over Wikidata,

S. Xu, S. Liu, T. Culhane, E. Pertseva, M.-H. Wu, S. Semnani, M. Lam, · 2023

Later among the works it cites.

Flexkbqa: A flexible llm-powered framework for few-shot knowledge base question answering,

Original

Z. Li, S. Fan, Y. Gu, X. Li, Z. Duan, B. Dong, N. Liu, J. Wang, · 2023

Later among the works it cites.

Red fm : a filtered and multilingual relation extraction dataset,

Original

P.-L. Huguet Cabot, S. Tedeschi, A.-C. Ngonga Ngomo, R. Navigli, · 2023

Later among the works it cites.

Assessing the evolution of llm capabilities for knowledge graph engineering in 2023,