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researcher

Frank Keller

18 papers hereh-index 171.5k citations39 works total

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

author position
  • middle author12
  • last author6

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

fields
  • cs.CL10
  • cs.CV8
same name
  • Frank Keller — 14 papers, h 44
  • Frank Keller — 6 papers, h 1
  • Frank Keller — 6 papers, h 1
  • Frank Keller — 6 papers, h 4
  • Frank Keller — 4 papers, h 3
  • Frank Keller — 1 paper, h 5

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
20162023
most citedAutomatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

10 citations · 26 across the 16 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023★ 2 cited

Dynamic Planning with a LLM

Gautier Dagan, Frank Keller, Alex Lascarides

While Large Language Models (LLMs) can solve many NLP tasks in zero-shot settings, applications involving embodied agents remain problematic. In particular, complex plans that requ…

cs.CL2023

Meta-learning For Vision-and-language Cross-lingual Transfer

Hanxu Hu, Frank Keller

Current pre-trained vison-language models (PVLMs) achieve excellent performance on a range of multi-modal datasets. Recent work has aimed at building multilingual models, and a ran…

cs.CL2023

Detecting and Grounding Important Characters in Visual Stories

Danyang Liu, Frank Keller

Characters are essential to the plot of any story. Establishing the characters before writing a story can improve the clarity of the plot and the overall flow of the narrative. How…

cs.CL2023

Learning the Effects of Physical Actions in a Multi-modal Environment

Gautier Dagan, Frank Keller, Alex Lascarides

Large Language Models (LLMs) handle physical commonsense information inadequately. As a result of being trained in a disembodied setting, LLMs often fail to predict an action's out…

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