Yoav Shoham

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 29

Top Venues

CoRR

AAMAS

ACL (1)

J. Econ. Theory

Publications

Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) (2024)
Opher Lieber, Barak Lenz, Hofit Bata, Gal Cohen, Jhonathan Osin, Itay Dalmedigos, Erez Safahi, Shaked Meirom, Yonatan Belinkov, Shai Shalev-Shwartz, Omri Abend, Raz Alon, Tomer Asida, Amir Bergman, Roman Glozman, Michael Gokhman, Avashalom Manevich, Nir Ratner, Noam Rozen, Erez Shwartz, Mor Zusman, Yoav Shoham
Jamba: A Hybrid Transformer-Mamba Language Model. CoRR (2024)
Kevin Leyton-Brown, Yoav Shoham
Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models. CoRR (2024)
Nestor Maslej, Loredana Fattorini, C. Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Jack Clark
Artificial Intelligence Index Report 2024. CoRR (2024)
Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
Generating Benchmarks for Factuality Evaluation of Language Models. CoRR (2023)
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
In-Context Retrieval-Augmented Language Models. CoRR (2023)
Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, C. Raymond Perrault
Artificial Intelligence Index Report 2023. CoRR (2023)
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
In-Context Retrieval-Augmented Language Models. Trans. Assoc. Comput. Linguistics 11 (2023)
Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Parallel Context Windows for Large Language Models. ACL (1) (2023)
Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham
Human or Not? A Gamified Approach to the Turing Test. CoRR (2023)
Yoav Levine, Itay Dalmedigos, Ori Ram, Yoel Zeldes, Daniel Jannai, Dor Muhlgay, Yoni Osin, Opher Lieber, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Standing on the Shoulders of Giant Frozen Language Models. CoRR (2022)
Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, C. Raymond Perrault
The AI Index 2022 Annual Report. CoRR (2022)
Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR (2022)
Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR (2022)
Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara J. Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, Yoav Shoham, Jack Clark, C. Raymond Perrault
The AI Index 2021 Annual Report. CoRR (2021)
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
PMI-Masking: Principled masking of correlated spans. ICLR (2021)
Yoav Shoham
Some Thoughts on Computational Natural Language in the 21st Century. WSDM (2021)
Or Sharir, Barak Peleg, Yoav Shoham
The Cost of Training NLP Models: A Concise Overview. CoRR (2020)
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
PMI-Masking: Principled masking of correlated spans. CoRR (2020)
Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
SenseBERT: Driving Some Sense into BERT. ACL (2020)
Nicolas S. Lambert, Adrian Marple, Yoav Shoham
On equilibria in games with imperfect recall. Games Econ. Behav. 113 (2019)
Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré
Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. DEEM@SIGMOD (2019)
Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
SenseBERT: Driving Some Sense into BERT. CoRR (2019)
Yoav Shoham
Towards the AI Index. AI Mag. 38 (4) (2017)
Yoav Shoham
Why knowledge representation matters. Commun. ACM 59 (1) (2016)
Christopher Archibald, Alon Altman, Yoav Shoham
A Distributed Agent for Computational Pool. IEEE Trans. Comput. Intell. AI Games 8 (2) (2016)
Nicolas S. Lambert, John Langford, Jennifer Wortman Vaughan, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock
An axiomatic characterization of wagering mechanisms. J. Econ. Theory 156 (2015)
Hooyeon Lee, Yoav Shoham
Stable Invitations. AAAI (2015)
Eric Hsin-Chun Huang, Jaron Lanier, Yoav Shoham
The Right to Obscure: A Mechanism and Initial Evaluation. IJCAI (2015)
Eric Hsin-Chun Huang, Yoav Shoham
Price manipulation in prediction markets: analysis and mitigation. AAMAS (2014)
Hooyeon Lee, Yoav Shoham
Optimizing time and convenience in group scheduling. AAMAS (2014)
Hooyeon Lee, Yoav Shoham
Stable Invitations. CoRR (2014)
Hooyeon Lee, Yoav Shoham
Stable group scheduling. AAMAS (2014)
Yoav Shoham
Conditional Utility, Utility Independence, and Utility Networks CoRR (2013)
Pierfrancesco La Mura, Yoav Shoham
Expected Utility Networks CoRR (2013)
Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz
Mechanism Design with Execution Uncertainty CoRR (2013)
Jacob Bank, Zachary Cain, Yoav Shoham, Caroline Suen, Dan Ariely
Turning personal calendars into scheduling assistants. CHI Extended Abstracts (2012)
Thuc Vu, Yoav Shoham
Fair Seeding in Knockout Tournaments. ACM Trans. Intell. Syst. Technol. 3 (1) (2011)
Christopher Archibald, Yoav Shoham
Hustling in Repeated Zero-Sum Games with Imperfect Execution. IJCAI (2011)
Christopher Archibald, Alon Altman, Yoav Shoham
Success, strategy and skill: an experimental study. AAMAS (2010)
Christopher Archibald, Alon Altman, Michael A. Greenspan, Yoav Shoham
Computational Pool: A New Challenge for Game Theory Pragmatics. AI Mag. 31 (4) (2010)
Thuc Vu, Yoav Shoham
Optimal seeding in knockout tournaments. AAMAS (2010)
Ashton Anderson, Yoav Shoham, Alon Altman
Internal implementation. AAMAS (2010)
Pingzhong Tang, Yoav Shoham, Fangzhen Lin
Designing competitions between teams of individuals. Artif. Intell. 174 (11) (2010)
Thomas F. Icard III, Eric Pacuit, Yoav Shoham
Joint Revision of Beliefs and Intention. KR (2010)
Michael Munie, Yoav Shoham
Joint process games: from ratings to wikis. AAMAS (2010)
Chitta Baral, Ian Horrocks, Yoav Shoham
Invited Presentations at the Twelfth International Conference on Principles of Knowledge Representation and Reasoning. KR (2010)
Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham
Ranking games. Artif. Intell. 173 (2) (2009)
Yoav Shoham
Logical Theories of Intention and the Database Perspective. J. Philos. Log. 38 (6) (2009)
Christopher Archibald, Yoav Shoham
Modeling billiards games. AAMAS (1) (2009)
Christopher Archibald, Alon Altman, Yoav Shoham
Analysis of a Winning Computational Billiards Player. IJCAI (2009)
Thuc Vu, Alon Altman, Yoav Shoham
On the complexity of schedule control problems for knockout tournaments. AAMAS (1) (2009)
Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham
Empirical hardness models: Methodology and a case study on combinatorial auctions. J. ACM 56 (4) (2009)
Pingzhong Tang, Yoav Shoham, Fangzhen Lin
Team competition. AAMAS (1) (2009)
Nicolas S. Lambert, Yoav Shoham
Eliciting truthful answers to multiple-choice questions. EC (2009)
Yoav Shoham
Considerations on the logic of intention. TARK (2009)
Yoav Shoham
Game Theory Pragmatics: A Challenge for AI. AAAI (2008)
Nicolas S. Lambert, David M. Pennock, Yoav Shoham
Eliciting properties of probability distributions. EC (2008)
Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz
Fault tolerant mechanism design. Artif. Intell. 172 (15) (2008)
Yoav Shoham
Computer science and game theory. Commun. ACM 51 (8) (2008)
Kevin Leyton-Brown, Yoav Shoham
Book announcements: multiagent systems and essentials of game theory. SIGecom Exch. 7 (3) (2008)
Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock
Self-financed wagering mechanisms for forecasting. EC (2008)
Nicolas S. Lambert, David M. Pennock, Yoav Shoham
Eliciting properties of probability distributions: the highlights. SIGecom Exch. 7 (3) (2008)
Michael Munie, Yoav Shoham
Optimal Testing of Structured Knowledge. AAAI (2008)
Nicolas S. Lambert, Yoav Shoham
Truthful Surveys. WINE (2008)
Ryan Porter, Eugene Nudelman, Yoav Shoham
Simple search methods for finding a Nash equilibrium. Games Econ. Behav. 63 (2) (2008)
Samuel Ieong, Yoav Shoham
Bayesian Coalitional Games. AAAI (2008)
Yoav Shoham
Computer science and game theory. AAMAS (1) (2008)
Nicolas S. Lambert, Yoav Shoham
Asymptotically optimal repeated auctions for sponsored search. ICEC (2007)
Felix Brandt, Tuomas Sandholm, Yoav Shoham
Spiteful Bidding in Sealed-Bid Auctions. IJCAI (2007)
Yoav Shoham
How Relevant is Game Theory to Intelligent Agent Technology? Web Intelligence (2007)
Samuel Ieong, Nicolas S. Lambert, Yoav Shoham, Ronen I. Brafman
Near-Optimal Search in Continuous Domains. AAAI (2007)
Peter Cramton, Yoav Shoham, Richard Steinberg
An overview of combinatorial auctions. SIGecom Exch. 7 (1) (2007)
Rob Powers, Yoav Shoham, Thuc Vu
A general criterion and an algorithmic framework for learning in multi-agent systems. Mach. Learn. 67 (1-2) (2007)
Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham
A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios. IJCAI (2007)
Yoav Shoham, Rob Powers, Trond Grenager
If multi-agent learning is the answer, what is the question? Artif. Intell. 171 (7) (2007)
Samuel Ieong, Yoav Shoham
Multi-attribute coalitional games. EC (2006)
Thuc Vu, Rob Powers, Yoav Shoham
Learning against multiple opponents. AAMAS (2006)
Felix Brandt, Felix A. Fischer, Yoav Shoham
On Strictly Competitive Multi-Player Games. AAAI (2006)
Yoav Shoham, Moshe Tennenholtz
Non-cooperative computation: Boolean functions with correctness and exclusivity. Theor. Comput. Sci. 343 (1-2) (2005)
Felix Brandt, Tuomas Sandholm, Yoav Shoham
Spiteful Bidding in Sealed-Bid Auctions. Computing and Markets (2005)
Ryan Porter, Yoav Shoham
On cheating in sealed-bid auctions. Decis. Support Syst. 39 (1) (2005)
Samuel Ieong, Yoav Shoham
Marginal contribution nets: a compact representation scheme for coalitional games. EC (2005)
Samuel Ieong, Robert McGrew, Eugene Nudelman, Yoav Shoham, Qixiang Sun
Fast and Compact: A Simple Class of Congestion Games. AAAI (2005)
Rob Powers, Yoav Shoham
Learning against opponents with bounded memory. IJCAI (2005)
Robert McGrew, Yoav Shoham
Using Contracts to Influence the Outcome of a Game. AAAI (2004)
Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. CP (2004)
Ryan Porter, Yoav Shoham, Moshe Tennenholtz
Fair imposition. J. Econ. Theory 118 (2) (2004)
Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. AAMAS (2004)
Ryan Porter, Yoav Shoham
Designing efficient online trading systems. EC (2004)
Yoav Shoham, Rob Powers, Trond Grenager
On the Agenda(s) of Research on Multi-Agent Learning. AAAI Technical Report (2) (2004)
Ryan Porter, Eugene Nudelman, Yoav Shoham
Simple Search Methods for Finding a Nash Equilibrium. AAAI (2004)
Rob Powers, Yoav Shoham
New Criteria and a New Algorithm for Learning in Multi-Agent Systems. NIPS (2004)
Yoav Shoham, Moshe Tennenholtz
Behavorial mechanism design as an online marketing tool. EC (2004)
Kevin Leyton-Brown, Ryan Porter, Balaji Prabhakar, Yoav Shoham, Shobha Venkataraman
Incentive mechanisms for smoothing out a focused demand for network resources. Comput. Commun. 26 (3) (2003)
Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham
Boosting as a Metaphor for Algorithm Design. CP (2003)
Robert McGrew, Ryan Porter, Yoav Shoham
Towards a general theory of non-cooperative computation. TARK (2003)
Ryan Porter, Yoav Shoham
On cheating in sealed-bid auctions. EC (2003)
Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham
A Portfolio Approach to Algorithm Selection. IJCAI (2003)
Daniel Lehmann, Liadan O'Callaghan, Yoav Shoham
Truth revelation in approximately efficient combinatorial auctions. J. ACM 49 (5) (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoav Shoham