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researcher

Tim Genewein

27 papers hereh-index 193.8k citations48 works total

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

author position
  • first author5
  • middle author17
  • last author3

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.AI10
  • stat.ML3
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedOn Detecting Adversarial Perturbations

220 citations · 424 across the 25 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.LG2025★ 2 cited

Understanding Prompt Tuning and In-Context Learning via Meta-Learning

Tim Genewein, Li Kevin Wenliang, Jordi Grau-Moya +3

Prompting is one of the main ways to adapt a pretrained model to target tasks. Besides manually constructing prompts, many prompt optimization methods have been proposed in the lit…

cs.CL2025

Why is prompting hard? Understanding prompts on binary sequence predictors

Li Kevin Wenliang, Anian Ruoss, Jordi Grau-Moya +2

Frontier models can be prompted or conditioned to do many tasks, but finding good prompts is not always easy, nor is understanding some performant prompts. We view prompting as fin…

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