◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Navid Ayoobi

18 papers hereh-index 6125 citations18 works total

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

author position
  • first author8
  • middle author8
  • last author1

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.LG5
  • eess.SP3
  • cs.AI1
  • cs.SE1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedThe Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention

48 citations · 58 across the 16 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

3 papers · 2 filters

cs.CL2025

Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats

Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee +2

The local news landscape, a vital source of reliable information for 28 million Americans, faces a growing threat from Pink Slime Journalism, a low-quality, auto-generated articles…

cs.CL2025

Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection

Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee

We present a novel evaluation paradigm for AI text detectors that prioritizes real-world and equitable assessment. Current approaches predominantly report conventional metrics like…

cs.CL2025★ 1 cited

ChatGPT or A Silent Everywhere Helper: A Survey of Large Language Models

Azim Akhtarshenas, Afshin Dini, Navid Ayoobi

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.