Haffari, Gholamreza

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

METABRIC Group, Curtis, C., Shah, S. P., Chin, S.-F., Turashvili, G., Rueda, O. M., Dunning, M. J., Speed, D., Lynch, A. G., Samarajiwa, S., et al. (2012) · Nature

Breast Cancer Treatment StudiesCancer Genomics and Diagnostics

Cited by 6,097

The clonal and mutational evolution spectrum of primary triple-negative breast cancers

Shah, S. P., Roth, A., Goya, R., Oloumi, A., Ha, G., Zhao, Y., Turashvili, G., Ding, J., Tse, K., Haffari, G., et al. (2012) · Nature

Cancer Genomics and DiagnosticsBreast Cancer Treatment Studies

Cited by 1,967

Graph-to-Sequence Learning using Gated Graph Neural Networks

Beck, D., Haffari, G., & Cohn, T. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Advanced Graph Neural NetworksTopic Modeling

Cited by 380

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Luo, L., Li, Y.-F., Haffari, G., & Pan, S. (2023) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 56

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex

Zhuo, T. Y., Li, Z., Huang, Y., Shiri, F., Wang, W., Haffari, G., & Li, Y.-F. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 31

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs

Nguyen, T., Luo, L., Shiri, F., Phung, D., Li, Y.-F., Vu, T.-T., & Haffari, G. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingMultimodal Machine Learning Applications

Cited by 17

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

Luo, L., Zhao, Z., Haffari, G., Li, Y.-F., Gong, C., & Pan, S. (2024) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 8

MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation

He, J., Zhu, L., Wang, R., Wang, X., Haffari, G., & Zhang, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 2

Towards LifeSpan Cognitive Systems

Wang, Y., Han, C., Wu, T., He, X., Zhou, W., Sadeq, N., Chen, X., He, Z., Wang, W., Haffari, G., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0