Pouya Pezeshkpour

Orcid: 0009-0002-7055-0035

According to our database1, Pouya Pezeshkpour authored at least 24 papers between 2015 and 2024.

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Bibliography

2024
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs.
CoRR, 2024

A Blueprint Architecture of Compound AI Systems for Enterprise.
CoRR, 2024

Multi-Conditional Ranking with Large Language Models.
CoRR, 2024

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions.
CoRR, 2024

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Less is More for Long Document Summary Evaluation by LLMs.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
The Extremal GDoF Gain of Optimal Versus Binary Power Control in K User Interference Networks is Θ (√K).
IEEE Trans. Wirel. Commun., November, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks.
CoRR, 2023

Rethinking Language Models as Symbolic Knowledge Graphs.
CoRR, 2023

Measuring and Modifying Factual Knowledge in Large Language Models.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Introducing Gradient-Based Methods and Diagnostic Benchmarks to Trace Errors Back to the Training Data
PhD thesis, 2022

Quantifying Social Biases Using Templates is Unreliable.
CoRR, 2022

Combining Feature and Instance Attribution to Detect Artifacts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
ParsiNLU: A Suite of Language Understanding Challenges for Persian.
Trans. Assoc. Comput. Linguistics, 2021

An Empirical Comparison of Instance Attribution Methods for NLP.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Revisiting Evaluation of Knowledge Base Completion Models.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
Generating User-friendly Explanations for Loan Denials using GANs.
CoRR, 2019

Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018
Compact Factorization of Matrices Using Generalized Round-Rank.
CoRR, 2018

Embedding Multimodal Relational Data for Knowledge Base Completion.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Embedding Multimodal Relational Data.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2015
Data Bits in Karnaugh Map and Increasing Map Capability in Error Correcting.
CoRR, 2015

An Optimal Linear Coding for Index Coding Problem.
CoRR, 2015


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