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Pouya Pezeshkpour

University of California Irvine

36 papers hereh-index 163.7k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author15
  • middle author15
  • last author3

Across the 35 of 36 papers where every author was matched, so the position is known.

fields
  • cs.CL23
  • cs.AI5
  • cs.IT3
  • cs.LG2
  • cs.DB1
  • cs.IR1
affiliations
  • University of California Irvine
  • Megagon Labs

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 621 across the 33 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CL2022★ 9 cited

Quantifying Social Biases Using Templates is Unreliable

Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh

Recently, there has been an increase in efforts to understand how large language models (LLMs) propagate and amplify social biases. Several works have utilized templates for fairne…

cs.CL2022★ 565 cited

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448

Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…

cs.IT2022

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 +1

Using ideas from Generalized Degrees of Freedom (GDoF) analyses and extremal network theory, this work studies the extremal gain of optimal power control over binary (on/off) power…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.