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Pouya Pezeshkpour
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Year
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
942*2023
Embedding Multimodal Relational Data for Knowledge Base Completion
P Pezeshkpour, L Chen, S Singh
EMNLP, 2018
1582018
Investigating robustness and interpretability of link prediction via adversarial modifications
P Pezeshkpour, Y Tian, S Singh
NAACL, 2019
802019
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
P Pezeshkpour, E Hruschka
NAACL (Findings), 2024
562024
Combining Feature and Instance Attribution to Detect Artifacts
P Pezeshkpour, S Jain, S Singh, BC Wallace
ACL, 2022
352022
ParsiNLU: A Suite of Language Understanding Challenges for Persian
D Khashabi, A Cohan, S Shakeri, P Hosseini, P Pezeshkpour, M Alikhani, ...
TACL, 2021
35*2021
Revisiting Evaluation of Knowledge Base Completion Models
P Pezeshkpour, Y Tian, S Singh
AKBC, 2020
352020
An Empirical Comparison of Instance Attribution Methods for NLP
P Pezeshkpour, S Jain, B Wallace, S Singh
NAACL, 2021
292021
Generating User-friendly Explanations for Loan Denials using GANs
R Srinivasan, A Chander, P Pezeshkpour
FEAP-AI4F at NeurIPS, 2019
22*2019
Quantifying Social Biases Using Templates is Unreliable
P Seshadri, P Pezeshkpour, S Singh
TSRML at Neurips, 2022
202022
On the Utility of Active Instance Selection for Few-Shot Learning
P Pezeshkpour, Z Zhao, S Singh
HAMLETS at NeurIPS, 2020
162020
Measuring and Modifying Factual Knowledge in Large Language Models
P Pezeshkpour
ICMLA, 2023
132023
Less is More for Long Document Summary Evaluation by LLMs
Y Wu, H Iso, P Pezeshkpour, N Bhutani, E Hruschka
EACL, 2024
7*2024
Rethinking Language Models as Symbolic Knowledge Graphs
V Mruthyunjaya, P Pezeshkpour, E Hruschka, N Bhutani
arXiv preprint arXiv:2308.13676, 2023
62023
Compact Factorization of Matrices Using Generalized Round-rank
P Pezeshkpour, C Guestrin, S Singh
Southern California Machine Learning Symposium, 2018
42018
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
32020
Embedding Multimodal Relational Data
P Pezeshkpour, L Chen, S Singh
AKBC, 2017
32017
Data bits in Karnaugh map and increasing map capability in error correcting
P Pezeshkpour, M Tabandeh
arXiv preprint, 2015
32015
Using Data Importance for Effective Active Learning
P Pezeshkpour, Z Zhao, S Singh
VL3 at CVPR, 2020
22020
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Articles 1–20