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ORCIDYoav Shoham
יואב שהם
Person information
- affiliation: Stanford University, USA
- unicode name: יואב שהם
- award (2012): ACM - AAAI Allen Newell Award
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2020 – today
- 2023
[c108]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: 6383-6402- [i20]Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
In-Context Retrieval-Augmented Language Models. CoRR abs/2302.00083 (2023) - [i19]Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham:
Human or Not? A Gamified Approach to the Turing Test. CoRR abs/2305.20010 (2023) - [i18]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 abs/2307.06908 (2023) - [i17]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 abs/2310.03715 (2023) - 2022
- [i16]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 abs/2204.10019 (2022) - [i15]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 abs/2205.00445 (2022) - [i14]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 abs/2205.03468 (2022) - [i13]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 abs/2212.10947 (2022) - 2021
- [c107]Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham:
PMI-Masking: Principled masking of correlated spans. ICLR 2021 - [c106]Yoav Shoham:
Some Thoughts on Computational Natural Language in the 21st Century. WSDM 2021: 1 - [i12]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 abs/2103.06312 (2021) - 2020
- [c105]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: 4656-4667 - [i11]Or Sharir, Barak Peleg, Yoav Shoham:
The Cost of Training NLP Models: A Concise Overview. CoRR abs/2004.08900 (2020) - [i10]Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham:
PMI-Masking: Principled masking of correlated spans. CoRR abs/2010.01825 (2020)
2010 – 2019
- 2019
- [j51]Nicolas S. Lambert, Adrian Marple
, Yoav Shoham:
On equilibria in games with imperfect recall. Games Econ. Behav. 113: 164-185 (2019) - [c104]Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré:
Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. DEEM@SIGMOD 2019: 4:1-4:11 - [i9]Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham:
SenseBERT: Driving Some Sense into BERT. CoRR abs/1908.05646 (2019) - 2017
- [j50]Yoav Shoham:
Towards the AI Index. AI Mag. 38(4): 71-77 (2017) - [r4]Yoav Shoham, Rob Powers:
Multi-agent Learning. Encyclopedia of Machine Learning and Data Mining 2017: 857-860 - [r3]Yoav Shoham, Rob Powers:
Multi-agent Learning Algorithms. Encyclopedia of Machine Learning and Data Mining 2017: 860-863 - 2016
- [j49]Yoav Shoham:
Why knowledge representation matters. Commun. ACM 59(1): 47-49 (2016) - [j48]Christopher Archibald, Alon Altman, Yoav Shoham:
A Distributed Agent for Computational Pool. IEEE Trans. Comput. Intell. AI Games 8(2): 190-202 (2016) - 2015
- [j47]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: 389-416 (2015) - [c103]Hooyeon Lee, Yoav Shoham:
Stable Invitations. AAAI 2015: 965-971 - [c102]Eric Hsin-Chun Huang, Jaron Lanier, Yoav Shoham:
The Right to Obscure: A Mechanism and Initial Evaluation. IJCAI 2015: 1156-1162 - 2014
- [c101]Eric Hsin-Chun Huang, Yoav Shoham:
Price manipulation in prediction markets: analysis and mitigation. AAMAS 2014: 213-220 - [c100]Hooyeon Lee, Yoav Shoham:
Optimizing time and convenience in group scheduling. AAMAS 2014: 1345-1346 - [c99]Hooyeon Lee, Yoav Shoham:
Stable group scheduling. AAMAS 2014: 1347-1348 - [i8]Hooyeon Lee, Yoav Shoham:
Stable Invitations. CoRR abs/1405.7751 (2014) - 2013
- [i7]Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz:
Mechanism Design with Execution Uncertainty. CoRR abs/1301.0595 (2013) - [i6]Pierfrancesco La Mura, Yoav Shoham:
Expected Utility Networks. CoRR abs/1301.6714 (2013) - [i5]Yoav Shoham:
Conditional Utility, Utility Independence, and Utility Networks. CoRR abs/1302.1568 (2013) - 2012
- [c98]Jacob Bank, Zachary Cain, Yoav Shoham, Caroline Suen, Dan Ariely:
Turning personal calendars into scheduling assistants. CHI Extended Abstracts 2012: 2667-2672 - 2011
- [j46]Thuc Vu, Yoav Shoham:
Fair Seeding in Knockout Tournaments. ACM Trans. Intell. Syst. Technol. 3(1): 9:1-9:17 (2011) - [c97]Christopher Archibald, Yoav Shoham:
Hustling in Repeated Zero-Sum Games with Imperfect Execution. IJCAI 2011: 31-36 - [e3]Yoav Shoham, Yan Chen, Tim Roughgarden:
Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), San Jose, CA, USA, June 5-9, 2011. ACM 2011, ISBN 978-1-4503-0261-6 [contents] - 2010
- [j45]Pingzhong Tang, Yoav Shoham, Fangzhen Lin:
Designing competitions between teams of individuals. Artif. Intell. 174(11): 749-766 (2010) - [j44]Christopher Archibald, Alon Altman, Michael A. Greenspan, Yoav Shoham:
Computational Pool: A New Challenge for Game Theory Pragmatics. AI Mag. 31(4): 33-41 (2010) - [c96]Ashton Anderson, Yoav Shoham, Alon Altman:
Internal implementation. AAMAS 2010: 191-198 - [c95]Michael Munie, Yoav Shoham:
Joint process games: from ratings to wikis. AAMAS 2010: 847-854 - [c94]Christopher Archibald, Alon Altman, Yoav Shoham:
Success, strategy and skill: an experimental study. AAMAS 2010: 1089-1096 - [c93]Thuc Vu, Yoav Shoham:
Optimal seeding in knockout tournaments. AAMAS 2010: 1579-1580 - [c92]Chitta Baral, Ian Horrocks, Yoav Shoham:
Invited Presentations at the Twelfth International Conference on Principles of Knowledge Representation and Reasoning. KR 2010 - [c91]Thomas Icard, Eric Pacuit, Yoav Shoham:
Joint Revision of Beliefs and Intention. KR 2010 - [r2]Yoav Shoham, Rob Powers:
Multi-Agent Learning I: Problem Definition. Encyclopedia of Machine Learning 2010: 694-696 - [r1]Yoav Shoham, Rob Powers:
Multi-Agent Learning II: Algorithms. Encyclopedia of Machine Learning 2010: 696-699
2000 – 2009
- 2009
- [b2]Yoav Shoham, Kevin Leyton-Brown:
Multiagent Systems - Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press 2009, ISBN 978-0-521-89943-7, pp. I-XX, 1-483 - [j43]Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham:
Ranking games. Artif. Intell. 173(2): 221-239 (2009) - [j42]Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham:
Empirical hardness models: Methodology and a case study on combinatorial auctions. J. ACM 56(4): 22:1-22:52 (2009) - [j41]Yoav Shoham:
Logical Theories of Intention and the Database Perspective. J. Philos. Log. 38(6): 633-647 (2009) - [c90]Christopher Archibald, Yoav Shoham:
Modeling billiards games. AAMAS (1) 2009: 193-199 - [c89]Thuc Vu, Alon Altman, Yoav Shoham:
On the complexity of schedule control problems for knockout tournaments. AAMAS (1) 2009: 225-232 - [c88]Pingzhong Tang, Yoav Shoham, Fangzhen Lin:
Team competition. AAMAS (1) 2009: 241-248 - [c87]Christopher Archibald, Alon Altman, Yoav Shoham:
Analysis of a Winning Computational Billiards Player. IJCAI 2009: 1377-1382 - [c86]Nicolas S. Lambert, Yoav Shoham:
Eliciting truthful answers to multiple-choice questions. EC 2009: 109-118 - [c85]Yoav Shoham:
Considerations on the logic of intention. TARK 2009: 3 - 2008
- [b1]Kevin Leyton-Brown, Yoav Shoham:
Essentials of Game Theory: A Concise Multidisciplinary Introduction. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00417-9 - [j40]Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz:
Fault tolerant mechanism design. Artif. Intell. 172(15): 1783-1799 (2008) - [j39]Yoav Shoham:
Computer science and game theory. Commun. ACM 51(8): 74-79 (2008) - [j38]Ryan Porter, Eugene Nudelman, Yoav Shoham:
Simple search methods for finding a Nash equilibrium. Games Econ. Behav. 63(2): 642-662 (2008) - [j37]Nicolas S. Lambert, David M. Pennock, Yoav Shoham:
Eliciting properties of probability distributions: the highlights. SIGecom Exch. 7(3) (2008) - [j36]Kevin Leyton-Brown, Yoav Shoham:
Book announcements: multiagent systems and essentials of game theory. SIGecom Exch. 7(3) (2008) - [c84]Samuel Ieong, Yoav Shoham:
Bayesian Coalitional Games. AAAI 2008: 95-100 - [c83]Michael Munie, Yoav Shoham:
Optimal Testing of Structured Knowledge. AAAI 2008: 1069-1074 - [c82]Yoav Shoham:
Game Theory Pragmatics: A Challenge for AI. AAAI 2008: 1606-1608 - [c81]Yoav Shoham:
Computer science and game theory. AAMAS (1) 2008: 3 - [c80]Nicolas S. Lambert, David M. Pennock, Yoav Shoham:
Eliciting properties of probability distributions. EC 2008: 129-138 - [c79]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: 170-179 - [c78]Nicolas S. Lambert, Yoav Shoham:
Truthful Surveys. WINE 2008: 154-165 - 2007
- [j35]Yoav Shoham, Rob Powers, Trond Grenager:
If multi-agent learning is the answer, what is the question? Artif. Intell. 171(7): 365-377 (2007) - [j34]Rob Powers, Yoav Shoham, Thuc Vu:
A general criterion and an algorithmic framework for learning in multi-agent systems. Mach. Learn. 67(1-2): 45-76 (2007) - [j33]Peter Cramton, Yoav Shoham, Richard Steinberg:
An overview of combinatorial auctions. SIGecom Exch. 7(1): 3-14 (2007) - [c77]Nicolas S. Lambert, Yoav Shoham:
Asymptotically optimal repeated auctions for sponsored search. ICEC 2007: 55-64 - [c76]Samuel Ieong, Nicolas S. Lambert, Yoav Shoham, Ronen I. Brafman:
Near-Optimal Search in Continuous Domains. AAAI 2007: 1158-1163 - [c75]Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham:
A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios. IJCAI 2007: 1199-1206 - [c74]Felix Brandt, Tuomas Sandholm, Yoav Shoham:
Spiteful Bidding in Sealed-Bid Auctions. IJCAI 2007: 1207-1214 - [c73]Yoav Shoham:
How Relevant is Game Theory to Intelligent Agent Technology? Web Intelligence 2007 - 2006
- [c72]Felix Brandt, Felix A. Fischer, Yoav Shoham:
On Strictly Competitive Multi-Player Games. AAAI 2006: 605-612 - [c71]Thuc Vu, Rob Powers, Yoav Shoham:
Learning against multiple opponents. AAMAS 2006: 752-759 - [c70]Samuel Ieong, Yoav Shoham:
Multi-attribute coalitional games. EC 2006: 170-179 - 2005
- [j32]Ryan Porter, Yoav Shoham:
On cheating in sealed-bid auctions. Decis. Support Syst. 39(1): 41-54 (2005) - [j31]Yoav Shoham, Moshe Tennenholtz:
Non-cooperative computation: Boolean functions with correctness and exclusivity. Theor. Comput. Sci. 343(1-2): 97-113 (2005) - [c69]Samuel Ieong, Robert McGrew, Eugene Nudelman, Yoav Shoham, Qixiang Sun:
Fast and Compact: A Simple Class of Congestion Games. AAAI 2005: 489-494 - [c68]Rob Powers, Yoav Shoham:
Learning against opponents with bounded memory. IJCAI 2005: 817-822 - [c67]Samuel Ieong, Yoav Shoham:
Marginal contribution nets: a compact representation scheme for coalitional games. EC 2005: 193-202 - [i4]Felix Brandt, Tuomas Sandholm, Yoav Shoham:
Spiteful Bidding in Sealed-Bid Auctions. Computing and Markets 2005 - 2004
- [j30]Ryan Porter, Yoav Shoham, Moshe Tennenholtz:
Fair imposition. J. Econ. Theory 118(2): 209-228 (2004) - [c66]Robert McGrew, Yoav Shoham:
Using Contracts to Influence the Outcome of a Game. AAAI 2004: 238-244 - [c65]Ryan Porter, Eugene Nudelman, Yoav Shoham:
Simple Search Methods for Finding a Nash Equilibrium. AAAI 2004: 664-669 - [c64]Yoav Shoham, Rob Powers, Trond Grenager:
On the Agenda(s) of Research on Multi-Agent Learning. AAAI Technical Report (2) 2004: 89-95 - [c63]Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown:
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. AAMAS 2004: 880-887 - [c62]Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham:
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. CP 2004: 438-452 - [c61]Rob Powers, Yoav Shoham:
New Criteria and a New Algorithm for Learning in Multi-Agent Systems. NIPS 2004: 1089-1096 - [c60]Yoav Shoham, Moshe Tennenholtz:
Behavorial mechanism design as an online marketing tool. EC 2004: 246-247 - [c59]Ryan Porter, Yoav Shoham:
Designing efficient online trading systems. EC 2004: 258-259 - 2003
- [j29]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): 237-250 (2003) - [c58]Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham:
Boosting as a Metaphor for Algorithm Design. CP 2003: 899-903 - [c57]Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham:
A Portfolio Approach to Algorithm Selection. IJCAI 2003: 1542 - [c56]Ryan Porter, Yoav Shoham:
On cheating in sealed-bid auctions. EC 2003: 76-84 - [c55]Robert McGrew, Ryan Porter, Yoav Shoham:
Towards a general theory of non-cooperative computation. TARK 2003: 59-71 - 2002
- [j28]Daniel Lehmann, Liadan O'Callaghan, Yoav Shoham:
Truth revelation in approximately efficient combinatorial auctions. J. ACM 49(5): 577-602 (2002) - [c54]Karèn Pivazyan, Yoav Shoham:
Polynomial-Time Reinforcement Learning of Near-Optimal Policies. AAAI/IAAI 2002: 205-210 - [c53]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
Bidding Clubs in First-Price Auctions. AAAI/IAAI 2002: 373-378 - [c52]Trond Grenager, Rob Powers, Yoav Shoham:
Dispersion Games: General Definitions and Some Specific Learning Results. AAAI/IAAI 2002: 398-403 - [c51]Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham:
Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions. CP 2002: 556-572 - [c50]Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz:
Mechanism Design with Execution Uncertainty. UAI 2002: 414-421 - [i3]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
Bidding Clubs in First-Price Auctions. CoRR cs.GT/0201017 (2002) - [i2]Daniel Lehmann, Liadan O'Callaghan, Yoav Shoham:
Truth Revelation in Approximately Efficient Combinatorial Auctions. CoRR cs.GT/0202017 (2002) - 2001
- [j27]Yoav Shoham, Moshe Tennenholtz:
On Rational Computability and Communication Complexity. Games Econ. Behav. 35(1-2): 197-211 (2001) - [j26]Pedrito Maynard-Reid II, Yoav Shoham:
Belief Fusion: Aggregating Pedigreed Belief States. J. Log. Lang. Inf. 10(2): 183-209 (2001) - [c49]Yoav Shoham, Moshe Tennenholtz:
Fair Imposition. IJCAI 2001: 1083-1088 - [e2]Michael P. Wellman, Yoav Shoham:
Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), Tampa, Florida, USA, October 14-17, 2001. ACM 2001, ISBN 1-58113-387-1 [contents] - 2000
- [c48]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
An Algorithm for Multi-Unit Combinatorial Auctions. AAAI/IAAI 2000: 56-61 - [c47]Kevin Leyton-Brown, Mark Pearson, Yoav Shoham:
Towards a universal test suite for combinatorial auction algorithms. EC 2000: 66-76 - [c46]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
Bidding clubs: institutionalized collusion in auctions. EC 2000: 253-259
1990 – 1999
- 1999
- [j25]Yoav Shoham:
What we talk about when we talk about software agents. IEEE Intell. Syst. 14(2): 28-31 (1999) - [c45]Yuzo Fujishima, Kevin Leyton-Brown, Yoav Shoham:
Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches. IJCAI 1999: 548-553 - [c44]Yuzo Fujishima, David McAdams, Yoav Shoham:
Speeding Up Ascending-Bid Auctions. IJCAI 1999: 554-563 - [c43]Daniel Lehmann, Liadan O'Callaghan, Yoav Shoham:
Truth revelation in approximately efficient combinatorial auctions. EC 1999: 96-102 - [c42]Pierfrancesco La Mura, Yoav Shoham:
Expected Utility Networks. UAI 1999: 366-373 - 1998
- [j24]