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researcher

Daniel E. Ho

13 papers hereh-index 6264 citations10 works total

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

author position
  • middle author9
  • last author2

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CR3
  • cs.CL2
  • cs.CY2
  • cs.LG2
same name
  • Daniel E. Ho — 9 papers, h 23
  • Daniel E. Ho — 7 papers, h 4
  • Daniel E. Ho — 6 papers, h 9
  • Daniel E. Ho — 5 papers, h 7
  • Daniel E. Ho — 5 papers, h 5
  • Daniel E. Ho — 5 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
most citedExtracting memorized pieces of (copyrighted) books from open-weight language models

2 citations · 5 across the 9 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Articulation Upper Bounds for Language Models

Alexander Spangher, Daniel E. Ho, Diyi Yang +2

Language captures only a subset of the perceptions, intuitions and intents that form meaning between speakers. What, then, are the limits of language? We take steps towards measuri…

cs.AI2026

Verifiable, Articulable, and Tacit Components of Preference

Alexander Spangher, Sheldon S. Huang, Sheldon Huang +5

What makes a short story gripping; a news article newsworthy; or a math proof elegant? These constructs resist articulation or verification; their meaning is at least partially tac…

cs.AI2026

API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces

Jennifer Wang, Joachim Baumann, Daniel E. Ho +1

Benchmark scores are a central currency in model releases: they inform purchasing decisions, shape public trust, and influence policy. Yet, a key assumption underlying benchmark sc…

cs.AI2025

Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing

Justin W. Lin, Eliot Krzysztof Jones, Donovan Julian Jasper +10

We present the first comprehensive evaluation of AI agents against human cybersecurity professionals in a live enterprise environment. We evaluate ten cybersecurity professionals a…

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