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Computer Science

D-Index
77
Citations
35325
World Ranking
1236
National Ranking
653

Research.com Recognitions

  • 2017 - AAAI Feigenbaum Prize "For high-impact basic research in artificial intelligence — including knowledge representation, multiagent systems, and computational game theory — and translating the basic research into impactful and innovative commercial products."
  • 2012 - ACM AAAI Allen Newell Award For fundamental contributions at the intersection of computer science, game theory, and economics, most particularly in multi-agent systems and social coordination (broadly construed), which have yielded major contributions to all three disciplines.
  • 2012 - ACM Fellow For contributions at the intersection of artificial intelligence, logic, and economics.
  • 1998 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For fundamental contributions concerning logics of time, knowledge, and belief that have resulted in significant advances in reasoning about time and change.

Overview

Yoav Shoham is affiliated with Stanford University in the United States. Their research primarily spans the field of computer science, with a strong focus on artificial intelligence. The subfields of study that their work contributes to include artificial intelligence, information systems, language and linguistics, linguistics and language, and computer vision and pattern recognition.

The main topics covered in their publications include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech Recognition and Synthesis
  • Text Readability and Simplification
  • Software Engineering Research
  • AI-based Problem Solving and Planning
  • Language, Discourse, Communication Strategies

Yoav Shoham has published at notable venues, most frequently appearing in arXiv (Cornell University) and the Transactions of the Association for Computational Linguistics. Their recent papers include:

  • In-Context Retrieval-Augmented Language Models, 2023, Transactions of the Association for Computational Linguistics
  • Artificial Intelligence Index Report 2023, 2023, arXiv (Cornell University)
  • Artificial Intelligence Index Report 2024, 2024, arXiv (Cornell University)
  • The Cost of Training NLP Models: A Concise Overview, 2020, arXiv (Cornell University)
  • MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Yoav Shoham include:

  • Yoav Levine
  • Kevin Leyton-Brown
  • Dor Muhlgay
  • Amnon Shashua
  • Omri Abend

Several awards have been conferred to Yoav Shoham over their career. These include the AAAI Feigenbaum Prize in 2017, awarded for research in artificial intelligence and applications. In 2012, they received the ACM AAAI Allen Newell Award for contributions intersecting computer science, game theory, and economics.

Additional recognitions include being named an ACM Fellow in 2012 for contributions at the intersection of artificial intelligence, logic, and economics, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1998, acknowledging advances in reasoning about time and change within logic systems.

Best Publications

  • Fab: content-based, collaborative recommendation

    Marko Balabanović;Yoav Shoham

  • Agent-oriented programming

    Yoav Shoham

  • Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

    Yoav Shoham;Kevin Leyton-Brown

  • Truth revelation in approximately efficient combinatorial auctions

    Daniel Lehmann;Liadan Ita Oćallaghan;Yoav Shoham

  • Combinatorial Auctions

    Peter Cramton;Yoav Shoham;Richard Steinberg

  • Reasoning About Change: Time and Causation from the Standpoint of Artificial Intelligence

    Yoav Shoham

  • On social laws for artificial agent societies: off-line design

    Yoav Shoham;Moshe Tennenholtz

  • Content-Based, Collaborative Recommendation.

    Marko Balabanovic;Yoav Shoham

  • Essentials of Game Theory: A Concise, Multidisciplinary Introduction

    Kevin Leyton-Brown;Yoav Shoham

  • Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches

    Yuzo Fujishima;Kevin Leyton-Brown;Yoav Shoham

  • A propositional modal logic of time intervals

    Joseph Y. Halpern;Yoav Shoham

  • On the Synthesis of Useful Social Laws for Artificial Agent Societies (Preliminary Report).

    Yoav Shoham;Moshe Tennenholtz

  • If multi-agent learning is the answer, what is the question?

    Yoav Shoham;Rob Powers;Trond Grenager

  • Towards a universal test suite for combinatorial auction algorithms

    Kevin Leyton-Brown;Mark Pearson;Yoav Shoham

  • Temporal logics in AI: semantical and ontological considerations

    Yoav Shoham

  • On the synthesis of useful social laws for artificial agent societies

    Yoav Shoham;Moshe Tennenholtz

  • On the emergence of social conventions: modeling, analysis, and simulations

    Yoav Shoham;Moshe Tennenholtz

  • Multi-Agent Reinforcement Learning:a critical survey

    Yoav Shoham;Rob Powers;Trond Grenager

  • In-Context Retrieval-Augmented Language Models

    Unknown

  • A semantical approach to nonmonotonic logics

    Y. Shoham

  • Essentials of game theory

    Kevin Leyton-Brown;Yoav Shoham

Frequent Co-Authors

Kevin Leyton-Brown
Kevin Leyton-Brown University of British Columbia
Moshe Tennenholtz
Moshe Tennenholtz Technion – Israel Institute of Technology
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
Ronen I. Brafman
Ronen I. Brafman Ben-Gurion University of the Negev
Felix Brandt
Felix Brandt Technical University of Munich
Jean-Claude Latombe
Jean-Claude Latombe Stanford University
Yoram Moses
Yoram Moses Technion – Israel Institute of Technology
Daniel Lehmann
Daniel Lehmann Hebrew University of Jerusalem
Joseph Y. Halpern
Joseph Y. Halpern Cornell University
Drew McDermott
Drew McDermott Yale University

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