| Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR, 2023 | 1028* | 2023 |
| Embedding Multimodal Relational Data for Knowledge Base Completion P Pezeshkpour, L Chen, S Singh EMNLP, 2018 | 164 | 2018 |
| Investigating robustness and interpretability of link prediction via adversarial modifications P Pezeshkpour, Y Tian, S Singh NAACL, 2019 | 82 | 2019 |
| Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions P Pezeshkpour, E Hruschka NAACL (Findings), 2024 | 73 | 2024 |
| ParsiNLU: A Suite of Language Understanding Challenges for Persian D Khashabi, A Cohan, S Shakeri, P Hosseini, P Pezeshkpour, M Alikhani, ... TACL, 2021 | 41 | 2021 |
| Combining Feature and Instance Attribution to Detect Artifacts P Pezeshkpour, S Jain, S Singh, BC Wallace ACL, 2022 | 35 | 2022 |
| Revisiting Evaluation of Knowledge Base Completion Models P Pezeshkpour, Y Tian, S Singh AKBC, 2020 | 35 | 2020 |
| An Empirical Comparison of Instance Attribution Methods for NLP P Pezeshkpour, S Jain, B Wallace, S Singh NAACL, 2021 | 30 | 2021 |
| Quantifying Social Biases Using Templates is Unreliable P Seshadri, P Pezeshkpour, S Singh TSRML at Neurips, 2022 | 24 | 2022 |
| Generating User-friendly Explanations for Loan Denials using GANs R Srinivasan, A Chander, P Pezeshkpour FEAP-AI4F at NeurIPS, 2019 | 21* | 2019 |
| On the Utility of Active Instance Selection for Few-Shot Learning P Pezeshkpour, Z Zhao, S Singh HAMLETS at NeurIPS, 2020 | 16 | 2020 |
| Less is More for Long Document Summary Evaluation by LLMs Y Wu, H Iso, P Pezeshkpour, N Bhutani, E Hruschka EACL, 2024 | 12* | 2024 |
| Measuring and Modifying Factual Knowledge in Large Language Models P Pezeshkpour ICMLA, 2023 | 12 | 2023 |
| Rethinking Language Models as Symbolic Knowledge Graphs V Mruthyunjaya, P Pezeshkpour, E Hruschka, N Bhutani arXiv preprint arXiv:2308.13676, 2023 | 8 | 2023 |
| Compact Factorization of Matrices Using Generalized Round-rank P Pezeshkpour, C Guestrin, S Singh Southern California Machine Learning Symposium, 2018 | 4 | 2018 |
| The Extremal GDoF Gain of Optimal versus Binary Power Control in User Interference Networks Is YC Chan, P Pezeshkpour, C Geng, SA Jafar IEEE Transactions on Wireless Communications, 2022 | 3* | 2022 |
| Explanations Generation with Different Cognitive Values Using Generative Adversarial Networks P Pezeshkpour, R Malur Srinivasan, A Chander US Patent App. 16/278,609, 2020 | 3 | 2020 |
| Embedding Multimodal Relational Data P Pezeshkpour, L Chen, S Singh AKBC, 2017 | 3 | 2017 |
| Data bits in Karnaugh map and increasing map capability in error correcting P Pezeshkpour, M Tabandeh arXiv preprint, 2015 | 3 | 2015 |
| Using Data Importance for Effective Active Learning P Pezeshkpour, Z Zhao, S Singh VL3 at CVPR, 2020 | 2 | 2020 |
Sameer SinghAssociate Professor, UC IrvineVerified email at uci.edu
