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Julian Coda-Forno

10 papers hereh-index 7720 citations15 works total

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

author position
  • first author5
  • middle author3

Across the 8 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.LG3
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPlaying repeated games with Large Language Models

54 citations · 113 across the 10 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

3 papers · 2 filters

cs.CL2023★ 6 cited

Meta-in-context learning in large language models

Julian Coda-Forno, Marcel Binz, Zeynep Akata +3

Large language models have shown tremendous performance in a variety of tasks. In-context learning -- the ability to improve at a task after being provided with a number of demonst…

cs.CL2023★ 54 cited

Playing repeated games with Large Language Models

Elif Akata, Lion Schulz, Julian Coda-Forno +3

LLMs are increasingly used in applications where they interact with humans and other agents. We propose to use behavioural game theory to study LLM's cooperation and coordination b…

cs.CL2023★ 41 cited

Inducing anxiety in large language models can induce bias

Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish +3

Large language models (LLMs) are transforming research on machine learning while galvanizing public debates. Understanding not only when these models work well and succeed but also…

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