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researcher

Mark Ibrahim

8 papers hereh-index 546 citations9 works total

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

author position
  • middle author4
  • last author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG3
  • cs.AI1
  • cs.CV1
same name
  • Mark Ibrahim — 5 papers, h 5
  • Mark Ibrahim — 4 papers, h 15
  • Mark Ibrahim — 3 papers, h 3
  • Mark Ibrahim — 2 papers, h 5
  • Mark Ibrahim — 2 papers, h 3

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
20242026
collaborators
Showing 2025Show all

4 papers · 1 filter

cs.AI2025

OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability

Karen Ullrich, Jingtong Su, Claudia Shi +7

Reliability is key to realizing the promise of autonomous UI-Agents, multimodal agents that directly interact with apps in the same manner as humans, as users must be able to trust…

cs.LG2025

What's in Common? Multimodal Models Hallucinate When Reasoning Across Scenes

Candace Ross, Florian Bordes, Adina Williams +2

Multimodal language models possess a remarkable ability to handle an open-vocabulary's worth of objects. Yet the best models still suffer from hallucinations when reasoning about s…

cs.CL2025

LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance

Patrick Haller, Mark Ibrahim, Polina Kirichenko +2

For Large Language Models (LLMs) to be reliable, they must learn robust knowledge that can be generally applied in diverse settings -- often unlike those seen during training. Yet,…

cs.CL2025

A Single Character can Make or Break Your LLM Evals

Jingtong Su, Jianyu Zhang, Karen Ullrich +2

Common Large Language model (LLM) evaluations rely on demonstration examples to steer models' responses to the desired style. While the number of examples used has been studied and…

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