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researcher

J. Boyd-Graber

16 papers hereh-index 223.4k citations53 works total

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

author position
  • middle author10
  • last author5

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.CV2
  • cs.IR1
  • cs.LG1
same name
  • J. Boyd-Graber — 23 papers, h 15
  • J. Boyd-Graber — 23 papers, h 9
  • J. Boyd-Graber — 3 papers, h 4
  • J. Boyd-Graber — 2 papers, h 1

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
20162025
most citedOpponent Modeling in Deep Reinforcement Learning

108 citations · 162 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CL2024

Personalized Help for Optimizing Low-Skilled Users' Strategy

Feng Gu, Wichayaporn Wongkamjan, Jonathan K. Kummerfeld +3

AIs can beat humans in game environments; however, how helpful those agents are to human remains understudied. We augment CICERO, a natural language agent that demonstrates superhu…

cs.CL2024★ 1 cited

More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play

Wichayaporn Wongkamjan, Feng Gu, Yanze Wang +6

The boardgame Diplomacy is a challenging setting for communicative and cooperative artificial intelligence. The most prominent communicative Diplomacy AI, Cicero, has excellent str…

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