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Joe Kwon

7 papers hereh-index 5260 citations10 works total

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

author position
  • first author1
  • middle author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CY2
  • cs.LG2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedWhen Large Language Models are More PersuasiveThan Incentivized Humans, and Why

7 citations · 23 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.LG2024

Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks

Madeline Brumley, Joe Kwon, David Krueger +2

A key objective of interpretability research on large language models (LLMs) is to develop methods for robustly steering models toward desired behaviors. To this end, two distinct…

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