Fine-grained Stateful Knowledge Exploration: Effective and Efficient Graph Retrieval with Large Language Models

Language models are few-shot learners

Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al., 2020 · 1901

Earlier work this paper cites.

Freebase: a collaboratively created graph database for structuring human knowledge, in: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pp. 1247–1250

Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J., 2008 · 2008

Earlier work this paper cites.

Semantic parsing on freebase from question-answer pairs, in: Proceedings of the 2013 conference on empirical methods in natural language processing, pp. 1533–1544

Berant, J., Chou, A., Frostig, R., Liang, P., 2013 · 2013

Earlier work this paper cites.

The value of semantic parse labeling for knowledge base question answering, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 201–206

Yih, W.t., Richardson, M., Meek, C., Chang, M.W., Suh, J., 2016 · 2016

Earlier work this paper cites.

Wizard of wikipedia: Knowledge-powered conversational agents, in: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, OpenReview.net

Dinan, E., Roller, S., Shuster, K., Fan, A., Auli, M., Weston, J., 2019 · 2019

Earlier work this paper cites.

Large-scale question tagging via joint question-topic embedding learning

Nie, L., Li, Y., Feng, F., Song, X., Wang, M., Wang, Y., 2020 · 2020

Earlier work this paper cites.

Mooccube: a large-scale data repository for nlp applications in moocs, in: Proceedings of the 58th annual meeting of the association for computational linguistics, pp. 3135–3142

Yu, J., Luo, G., Xiao, T., Zhong, Q., Wang, Y., Feng, W., Luo, J., Wang, C., Hou, L., Li, J., et al., 2020 · 2020

Earlier work this paper cites.

Knowledge-enriched event causality identification via latent structure induction networks, in: Zong, C., Xia, F., Li, W., Navigli, R. (Eds.), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, Association for Computational Linguistics. pp. 4862–4872

Cao, P., Zuo, X., Chen, Y., Liu, K., Zhao, J., Chen, Y., Peng, W., 2021 · 2021

Earlier work this paper cites.

KILT: a benchmark for knowledge intensive language tasks, in: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tür, D., Beltagy, I., Bethard, S., Cotterell, R., Chakraborty, T., Zhou, Y. (Eds.), Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021, Association for Computational Linguistics. pp. 2523–2544

Petroni, F., Piktus, A., Fan, A., Lewis, P.S.H., Yazdani, M., Cao, N.D., Thorne, J., Jernite, Y., Karpukhin, V., Maillard, J., Plachouras, V., Rocktäschel, T., Riedel, S., 2021 · 2021

Earlier work this paper cites.

Retrieval augmentation reduces hallucination in conversation, in: Moens, M., Huang, X., Specia, L., Yih, S.W. (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, Association for Computational Linguistics. pp. 3784–3803

Shuster, K., Poff, S., Chen, M., Kiela, D., Weston, J., 2021 · 2021

Earlier work this paper cites.

Beyond goldfish memory: Long-term open-domain conversation

Original

Xu, J., Szlam, A., Weston, J., 2021 · 2021

Cited alongside, same era.

Language models that seek for knowledge: Modular search & generation for dialogue and prompt completion, in: Goldberg, Y., Kozareva, Z., Zhang, Y. (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, Association for Computational Linguistics. pp. 373–393

Shuster, K., Komeili, M., Adolphs, L., Roller, S., Szlam, A., Weston, J., 2022a · 2022

Cited alongside, same era.

Chain-of-thought prompting elicits reasoning in large language models

Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q.V., Zhou, D., et al., 2022 · 2022

Cited alongside, same era.

OPT: open pre-trained transformer language models

Original

Zhang, S., Roller, S., Goyal, N., Artetxe, M., Chen, M., Chen, S., Dewan, C., Diab, M.T., Li, X., Lin, X.V., Mihaylov, T., Ott, M., Shleifer, S., Shuster, K., Simig, D., Koura, P.S., Sridhar, A., Wang, T., Zettlemoyer, L., 2022 · 2022

Structgpt: A general framework for large language model to reason over structured data

Original

Jiang, J., Zhou, K., Dong, Z., Ye, K., Zhao, W.X., Wen, J.R., 2023 · 2023

Later among the works it cites.

Augmented large language models with parametric knowledge guiding

Original

Luo, Z., Xu, C., Zhao, P., Geng, X., Tao, C., Ma, J., Lin, Q., Jiang, D., 2023 · 2023

Later among the works it cites.

Augmented language models: a survey

Original

Mialon, G., Dessì, R., Lomeli, M., Nalmpantis, C., Pasunuru, R., Raileanu, R., Rozière, B., Schick, T., Dwivedi-Yu, J., Celikyilmaz, A., Grave, E., LeCun, Y., Scialom, T., 2023 · 2023

Later among the works it cites.

Self-consistency improves chain of thought reasoning in language models, in: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, OpenReview.net

Wang, X., Wei, J., Schuurmans, D., Le, Q.V., Chi, E.H., Narang, S., Chowdhery, A., Zhou, D., 2023a · 2023

Later among the works it cites.