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researcher

George Pappas

University of Pennsylvania

33 papers hereh-index 122.9k citations37 works total

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

author position
  • middle author26
  • last author5

Across the 31 of 33 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.AI4
  • cs.RO4
  • stat.ML4
  • cs.CL2
  • cs.CR2
affiliations
  • University of Pennsylvania
Homepage
same name
  • George Pappas — 164 papers, h 105
  • George Pappas — 32 papers, h 24
  • George Pappas — 4 papers, h 5
  • George Pappas — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedJailbreaking Black Box Large Language Models in Twenty Queries

47 citations · 106 across the 29 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Disagreement-Guided Weak-to-Strong Routing

Sima Noorani, Shayan Kiyani, George Pappas +1

Small language models are increasingly deployed on edge devices and robotic systems to meet cost and latency constraints, yet their limited capabilities can make reliable deploymen…

cs.AI2026

Strategic Decision Support for AI Agents

Shayan Kiyani, Sima Noorani, George Pappas +1

Traditionally, decision support studies how humans use machine learning models to make better decisions. In modern agentic systems, this division of roles is increasingly reversed:…

cs.AI2025

Human-AI Collaborative Uncertainty Quantification

Sima Noorani, Shayan Kiyani, George Pappas +1

AI predictive systems are increasingly embedded in decision making pipelines, shaping high stakes choices once made solely by humans. Yet robust decisions under uncertainty still r…

cs.AI2024

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation

Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor +3

We consider a setting in which N agents aim to speedup a common Stochastic Approximation (SA) problem by acting in parallel and communicating with a central server. We assume tha…

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