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
1341 * 2023 Embedding Multimodal Relational Data for Knowledge Base Completion P Pezeshkpour, L Chen, S Singh
EMNLP, 2018
175 2018 Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions P Pezeshkpour, E Hruschka
NAACL (Findings), 2024
124 2024 Investigating robustness and interpretability of link prediction via adversarial modifications P Pezeshkpour, Y Tian, S Singh
NAACL, 2019
88 2019 ParsiNLU: A Suite of Language Understanding Challenges for Persian D Khashabi, A Cohan, S Shakeri, P Hosseini, P Pezeshkpour, M Alikhani, ...
TACL, 2021
46 2021 Combining Feature and Instance Attribution to Detect Artifacts P Pezeshkpour, S Jain, S Singh, BC Wallace
ACL, 2022
39 2022 Revisiting Evaluation of Knowledge Base Completion Models P Pezeshkpour, Y Tian, S Singh
AKBC, 2020
37 2020 An Empirical Comparison of Instance Attribution Methods for NLP P Pezeshkpour, S Jain, B Wallace, S Singh
NAACL, 2021
34 2021 Quantifying Social Biases Using Templates is Unreliable P Seshadri, P Pezeshkpour, S Singh
TSRML at Neurips, 2022
31 2022 Less is More for Long Document Summary Evaluation by LLMs Y Wu, H Iso, P Pezeshkpour, N Bhutani, E Hruschka
EACL, 2024
21 * 2024 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
19 2020 Measuring and Modifying Factual Knowledge in Large Language Models P Pezeshkpour
ICMLA, 2023
18 2023 Rethinking Language Models as Symbolic Knowledge Graphs V Mruthyunjaya, P Pezeshkpour, E Hruschka, N Bhutani
arXiv preprint arXiv:2308.13676, 2023
10 2023 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
4 * 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
4 2020 Compact Factorization of Matrices Using Generalized Round-rank P Pezeshkpour, C Guestrin, S Singh
Southern California Machine Learning Symposium, 2018
4 2018 Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions P Pezeshkpour, E Kandogan, N Bhutani, S Rahman, T Mitchell, ...
Compound AI Systems, 2024
3 2024 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