Collaborative Stance Detection via Small-Large Language Model Consistency Verification

Liu, Y.e.a.: RoBERTa. arXiv preprint (2019), arXiv:1907.11692

Original

1907

Earlier work this paper cites.

Auer, S.e.a.: Dbpedia: A nucleus for a web of open data. In: ISWC. pp. 722–735. Springer (2007)

2007

Earlier work this paper cites.

Mohammad, S.e.a.: SemEval-2016 Task 6: Detecting Stance in Tweets. In: SemEval. pp. 31–41 (2016)

2016

Earlier work this paper cites.

Xu, R.e.a.: Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs. In: NLUIA, pp. 907–916. Springer (2016)

2016

Earlier work this paper cites.

Sobhani, P.e.a.: Dataset for Multi-target Stance Detection. In: EACL. pp. 551–557 (2017)

2017

Earlier work this paper cites.

Speer, R., Chin, J., Havasi, C.: Conceptnet 5.5: An open multilingual graph of general knowledge. In: AAAI. vol. 31 (2017)

2017

Earlier work this paper cites.

Allaway, E., Mckeown, K.: Zero-shot stance detection: A dataset and model using generalized topic representations. In: EMNLP 2020. pp. 8913–8931 (2020)

2020

Earlier work this paper cites.

Allaway, E., Srikanth, M., McKeown, K.: Adversarial learning for zero-shot stance detection on social media. arXiv preprint arXiv:2105.06603 (2021)

Original

2021

Earlier work this paper cites.

Li, Y., Sosea, T., Sawant, A., Nair, A.J., Inkpen, D., Caragea, C.: P-Stance: A Large Dataset for Stance Detection in Political Domain. In: ACL-IJCNLP Findings. pp. 2355–2365 (2021)

2021

Cited alongside, same era.

Liu, R., Lin, Z., Tan, Y., Wang, W.: Enhancing zero-shot and few-shot stance detection with commonsense knowledge graph. In: ACL-IJCNLP 2021. pp. 3152–3157 (2021)

2021

Cited alongside, same era.

Liang, B.e.a.: JointCL: Joint Contrastive Learning Framework for Zero-shot Stance Detection. In: ACL. pp. 81–91 (2022)

2022

Cited alongside, same era.

Liang, B.e.a.: Zero-shot stance detection via contrastive learning. In: WWW. pp. 2738–2747 (2022)

2022

Cited alongside, same era.

Zhang, B., Ding, D., Jing, L.: Future of Stance Detection Techniques Post ChatGPT. arXiv preprint (2022), arXiv:2212.14548

Original

2022

Li, A., Liang, B., Zhao, J., Zhang, B., Yang, M., Xu, R.: Stance detection on social media with background knowledge. In: EMNLP 2023. pp. 15703–15717 (2023)

2023

Later among the works it cites.

Wang, J., Wang, C., Tan, C., Huang, J., Gao, M.: Boosting in-context learning with factual knowledge. arXiv preprint arXiv:2309.14771 (2023)

Original

2023

Later among the works it cites.

Zhang, B., Ding, D., Jing, L., Huang, H.: A logically consistent chain-of-thought approach for stance detection. arXiv preprint arXiv:2312.16054 (2023)

Original

2023

Later among the works it cites.

Zhang, B., Fu, X., Ding, D., Huang, H., Li, Y., Jing, L.: Investigating chain-of-thought with chatgpt for stance detection on social media. arXiv preprint arXiv:2304.03087 (2023)

Original

2023

Later among the works it cites.