An Optimal Linear Coding for Index Coding Problem. - Pouya Pezeshkpour (CoRR, 2015)

Data Bits in Karnaugh Map and Increasing Map Capability in Error Correcting. - Pouya Pezeshkpour; Mahmoud Tabandeh (CoRR, 2015)

Embedding Multimodal Relational Data. - Pouya Pezeshkpour; Liyan Chen; Sameer Singh 001 (AKBC@NIPS, 2017)

Embedding Multimodal Relational Data for Knowledge Base Completion. - Pouya Pezeshkpour; Liyan Chen; Sameer Singh 001 (EMNLP, 2018)

Compact Factorization of Matrices Using Generalized Round-Rank. - Pouya Pezeshkpour; Carlos Guestrin; Sameer Singh 001 (CoRR, 2018)

Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. - Pouya Pezeshkpour; Yifan Tian; Sameer Singh 001 (AKBC, 2019)

Generating User-friendly Explanations for Loan Denials using GANs. - Ramya Srinivasan 002; Ajay Chander; Pouya Pezeshkpour (CoRR, 2019)

Revisiting Evaluation of Knowledge Base Completion Models. - Pouya Pezeshkpour; Yifan Tian; Sameer Singh 001 (AKBC, 2020)

An Empirical Comparison of Instance Attribution Methods for NLP. - Pouya Pezeshkpour; Sarthak Jain; Byron C. Wallace; Sameer Singh 001 (NAACL-HLT, 2021)

ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Daniel Khashabi; Arman Cohan; Siamak Shakeri; Pedram Hosseini; Pouya Pezeshkpour; Malihe Alikhani; Moin Aminnaseri; Marzieh Bitaab; Faeze Brahman; Sarik Ghazarian; Mozhdeh Gheini; Arman Kabiri; et al. (Trans. Assoc. Comput. Linguistics, 2021)

Combining Feature and Instance Attribution to Detect Artifacts. - Pouya Pezeshkpour; Sarthak Jain; Sameer Singh 001; Byron C. Wallace (ACL (Findings), 2022)

Quantifying Social Biases Using Templates is Unreliable. - Preethi Seshadri; Pouya Pezeshkpour; Sameer Singh 001 (CoRR, 2022)

Introducing Gradient-Based Methods and Diagnostic Benchmarks to Trace Errors Back to the Training Data - Pouya Pezeshkpour (2022)

Measuring and Modifying Factual Knowledge in Large Language Models. - Pouya Pezeshkpour (ICMLA, 2023)

Rethinking Language Models as Symbolic Knowledge Graphs. - Vishwas Mruthyunjaya; Pouya Pezeshkpour; Estevam Hruschka; Nikita Bhutani (CoRR, 2023)

Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks. - Pouya Pezeshkpour; Hayate Iso; Thom Lake; Nikita Bhutani; Estevam Hruschka (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

The Extremal GDoF Gain of Optimal Versus Binary Power Control in K User Interference Networks is Θ (√K). - Yao-Chia Chan; Pouya Pezeshkpour; Chunhua Geng; Syed Ali Jafar (IEEE Trans. Wirel. Commun., 2023)

Less is More for Long Document Summary Evaluation by LLMs. - Yunshu Wu; Hayate Iso; Pouya Pezeshkpour; Nikita Bhutani; Estevam Hruschka (EACL (2), 2024)

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions. - Pouya Pezeshkpour; Estevam Hruschka (NAACL-HLT (Findings), 2024)

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. - Pouya Pezeshkpour; Eser Kandogan; Nikita Bhutani; Sajjadur Rahman; Tom M. Mitchell; Estevam Hruschka (CoRR, 2024)

A Blueprint Architecture of Compound AI Systems for Enterprise. - Eser Kandogan; Sajjadur Rahman; Nikita Bhutani; Dan Zhang 025; Rafael Li Chen; Kushan Mitra; Sairam Gurajada; Pouya Pezeshkpour; Hayate Iso; Yanlin Feng; Hannah Kim 001; Chen Shen 009; et al. (CoRR, 2024)

From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization. - Catarina G. Belém; Pouya Pezeshkpour; Hayate Iso; Seiji Maekawa; Nikita Bhutani; Estevam Hruschka (NAACL (Findings), 2025)

LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs. - Arash Gholami Davoodi; Seyed Pouyan Mousavi Davoudi; Pouya Pezeshkpour (NAACL (Long Papers), 2025)

Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education. - Hayate Iso; Pouya Pezeshkpour; Nikita Bhutani; Estevam Hruschka (NAACL (Industry Track), 2025)

Multi-Conditional Ranking with Large Language Models. - Pouya Pezeshkpour; Estevam Hruschka (NAACL (Long Papers), 2025)

Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning? - Pouya Pezeshkpour; Estevam Hruschka (CoRR, 2025)

Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation. - Pouya Pezeshkpour; Estevam Hruschka (CoRR, 2025)

Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict. - Pouya Pezeshkpour; Moin Aminnaseri; Estevam Hruschka (CoRR, 2025)