◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

David M. Danks

4 papers here

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CY2
  • cs.CL1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2025

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation

Qiyue Gao, Xinyu Pi, Kevin Liu +21

Internal world models (WMs) enable agents to understand the world's state and predict transitions, serving as the basis for advanced deliberative reasoning. Recent large Vision-Lan…

cs.CY2025

Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government

Michela Taufer, Rada Mihalcea, Matthew Turk +13

Leadership in the field of AI is vital for our nation's economy and security. Maintaining this leadership requires investments by the federal government. The federal investment in…

stat.ML2024

ION-C: Integration of Overlapping Networks via Constraints

Praveen Nair, Payal Bhandari, Mohammadsajad Abavisani +2

In many causal learning problems, variables of interest are often not all measured over the same observations, but are instead distributed across multiple datasets with overlapping…

cs.CY2024

Addressing the Unforeseen Harms of Technology CCC Whitepaper

Nadya Bliss, Kevin Butler, David Danks +2

Recent years have seen increased awareness of the potential significant impacts of computing technologies, both positive and negative. This whitepaper explores how to address possi…

◍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.