Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. - John R. Frank; Max Kleiman-Weiner; Daniel A. Roberts; Feng Niu; Ce Zhang 001; Christopher Ré; Ian Soboroff (TREC, 2012)

Evaluating Stream Filtering for Entity Profile Updates for TREC 2013. - John R. Frank; Steven J. Bauer; Max Kleiman-Weiner; Daniel A. Roberts; Nilesh Tripuraneni; Ce Zhang 001; Christopher Ré; Ellen M. Voorhees; Ian Soboroff (TREC, 2013)

Wins above replacement: Responsibility attributions as counterfactual replacements. - Tobias Gerstenberg; Tomer D. Ullman; Max Kleiman-Weiner; David A. Lagnado; Joshua B. Tenenbaum (CogSci, 2014)

Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014. - John R. Frank; Max Kleiman-Weiner; Daniel A. Roberts; Ellen M. Voorhees; Ian Soboroff (TREC, 2014)

Go fishing! Responsibility judgments when cooperation breaks down. - Kelsey R. Allen; Julian Jara-Ettinger; Tobias Gerstenberg; Max Kleiman-Weiner; Joshua B. Tenenbaum (CogSci, 2015)

Inference of Intention and Permissibility in Moral Decision Making. - Max Kleiman-Weiner; Tobias Gerstenberg; Sydney Levine; Joshua B. Tenenbaum (CogSci, 2015)

Feature-based Joint Planning and Norm Learning in Collaborative Games. - Mark K. Ho; James MacGlashan; Amy Greenwald; Michael L. Littman; Elizabeth Hilliard; Carl Trimbach; Stephen Brawner; Josh Tenenbaum 001; Max Kleiman-Weiner; Joseph L. Austerweil (CogSci, 2016)

Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. - Max Kleiman-Weiner; Mark K. Ho; Joseph L. Austerweil; Michael L. Littman; Josh Tenenbaum 001 (CogSci, 2016)

Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why? - Max Kleiman-Weiner; Alex Shaw; Josh Tenenbaum 001 (CogSci, 2017)

Cooperative Social Intelligence: Understanding and Acting with Other. - Max Kleiman-Weiner; Yibiao Zhao; Josh Tenenbaum 001 (CogSci, 2017)

Preschoolers and Infants Calibrate Persistence from Adult Models. - Julia A. Leonard; Max Kleiman-Weiner; Yuna Lee; Josh Tenenbaum 001; Laura Schulz (CogSci, 2017)

Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. - Joseph Y. Halpern; Max Kleiman-Weiner (AAAI, 2018)

A Computational Model of Commonsense Moral Decision Making. - Richard Kim; Max Kleiman-Weiner; Andrés Abeliuk; Edmond Awad; Sohan Dsouza; Joshua B. Tenenbaum; Iyad Rahwan (AIES, 2018)

A generative model of people's intuitive theory of emotions: inverse planning in rich social games. - Sean Dae Houlihan; Max Kleiman-Weiner; Josh Tenenbaum 001; Rebecca Saxe (CogSci, 2018)

Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices. - Richard Kim; Niccolo Pescetelli; Max Kleiman-Weiner; Edmond Awad; Sohan Dsouza; Josh Tenenbaum 001; Iyad Rahwan (CogSci, 2018)

The Evolution of Cooperation in Cognitively Flexible Agents. - Max Kleiman-Weiner; Alejandro Vientós; David Rand; Josh Tenenbaum 001 (CogSci, 2018)

The Cognitive Mechanisms of Contractualist Moral Decision-Making. - Sydney Levine; Max Kleiman-Weiner; Nicholas Chater; Fiery Cushman; Josh Tenenbaum 001 (CogSci, 2018)

Learning to Share and Hide Intentions using Information Regularization. - Daniel Strouse; Max Kleiman-Weiner; Josh Tenenbaum 001; Matthew M. Botvinick; David J. Schwab (NeurIPS, 2018)

Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation. - Edmond Awad; Sydney Levine; Max Kleiman-Weiner; Sohan Dsouza; Joshua B. Tenenbaum; Azim Shariff; Jean-François Bonnefon; Iyad Rahwan (CoRR, 2018)

Theory of Minds: Understanding Behavior in Groups through Inverse Planning. - Michael Shum; Max Kleiman-Weiner; Michael L. Littman; Joshua B. Tenenbaum (AAAI, 2019)

Emotion attributions echo the structure of people's intuitive theory of psychology. - Sean Dae Houlihan; Max Kleiman-Weiner; Josh Tenenbaum 001; Rebecca Saxe (CogSci, 2019)

Downloading Culture.zip: Social learning by program induction with execution traces. - Max Kleiman-Weiner; Felix Sosa; Samuel Gershman; Fiery Cushman (CogSci, 2019)

What if everybody did that?: Universalization as a mechanism of moral decision-making. - Sydney Levine; Max Kleiman-Weiner; Laura Schulz; Josh Tenenbaum 001; Fiery Cushman (CogSci, 2019)

Finding Friend and Foe in Multi-Agent Games. - Jack Serrino; Max Kleiman-Weiner; David C. Parkes; Josh Tenenbaum 001 (NeurIPS, 2019)

Downloading Culture.zip: Social learning by program induction. - Max Kleiman-Weiner; Felix Sosa; Bill Thompson 001; Sebastiaan van Opheusden; Tom Griffiths 001; Samuel Gershman; Fiery Cushman (CogSci, 2020)

Antarjami: Exploring psychometric evaluation through a computer-based game. - Anirban Lahiri; Utanko Mitra; Sunreeta Sen; Mreenal Chakraborty; Max Kleiman-Weiner; Rajlakshmi Guha; Pabitra Mitra; Anupam Basu; Partha Pratim Chakraborty (CogSci, 2020)

Intuitive Signaling Through an "Imagined We'". - Stephanie Stacy; Qingyi Zhao; Minglu Zhao; Max Kleiman-Weiner; Tao Gao 004 (CogSci, 2020)

Too many cooks: Coordinating multi-agent collaboration through inverse planning. - Sarah A. Wu; Rose E. Wang; James A. Evans; Josh Tenenbaum 001; David C. Parkes; Max Kleiman-Weiner (CogSci, 2020)

Modeling Communication to Coordinate Perspectives in Cooperation. - Stephanie Stacy; Chenfei Li; Minglu Zhao; Yiling Yun; Qingyi Zhao; Max Kleiman-Weiner; Tao Gao 004 (CogSci, 2021)

Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping. - Suhyoun Yu; Marta Kryven; Josh Tenenbaum 001; Max Kleiman-Weiner (CogSci, 2021)

Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. - Sarah A. Wu; Rose E. Wang; James A. Evans; Joshua B. Tenenbaum; David C. Parkes; Max Kleiman-Weiner (Top. Cogn. Sci., 2021)

Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. - Rose E. Wang; Sarah A. Wu; James A. Evans; David C. Parkes; Joshua B. Tenenbaum; Max Kleiman-Weiner (Human-Like Machine Intelligence, 2022)

Overloaded Communication as Paternalistic Helping. - Stephanie Stacy; Aishni Parab; Max Kleiman-Weiner; Tao Gao 004 (CogSci, 2022)

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. - Edmond Awad; Sydney Levine; Andrea Loreggia; Nicholas Mattei; Iyad Rahwan; Francesca Rossi 001; Kartik Talamadupula; Joshua B. Tenenbaum; Max Kleiman-Weiner (CoRR, 2022)

Learning to Coordinate with Humans using Action Features. - Mingwei Ma; Jizhou Liu; Samuel Sokota; Max Kleiman-Weiner; Jakob N. Foerster (CoRR, 2022)

Learning Intuitive Policies Using Action Features. - Mingwei Ma; Jizhou Liu; Samuel Sokota; Max Kleiman-Weiner; Jakob Nicolaus Foerster (ICML, 2023)

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. - Zhijing Jin 001; Yuen Chen; Felix Leeb; Luigi Gresele; Ojasv Kamal; Zhiheng Lyu; Kevin Blin; Fernando Gonzalez Adauto; Max Kleiman-Weiner; Mrinmaya Sachan; Bernhard Schölkopf (NeurIPS, 2023)

Does big data serve policy? Not without context. An experiment with in silico social science. - Christopher Graziul; Alexander Belikov 003; Ishanu Chattopadhyay; Ziwen Chen; Hongbo Fang; Anuraag Girdhar; Xiaoshuang Jia; P. M. Krafft; Max Kleiman-Weiner; Candice Lewis; Chen Liang; John Muchovej; et al. (Comput. Math. Organ. Theory, 2023)

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents. - Giorgio Piatti; Zhijing Jin 001; Max Kleiman-Weiner; Bernhard Schölkopf; Mrinmaya Sachan; Rada Mihalcea (NeurIPS, 2024)

Value Internalization: Learning and Generalizing from Social Reward. - Frieda Rong; Max Kleiman-Weiner (RLJ, 2024)

Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. - Giorgio Piatti; Zhijing Jin 001; Max Kleiman-Weiner; Bernhard Schölkopf; Mrinmaya Sachan; Rada Mihalcea (CoRR, 2024)

Multilingual Trolley Problems for Language Models. - Zhijing Jin 001; Sydney Levine; Max Kleiman-Weiner; Giorgio Piatti; Jiarui Liu 004; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi 001; Bernhard Schölkopf (CoRR, 2024)

SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. - Jing-Jing Li; Valentina Pyatkin; Max Kleiman-Weiner; Liwei Jiang; Nouha Dziri; Anne G. E. Collins; Jana Schaich Borg; Maarten Sap; Yejin Choi 001; Sydney Levine (CoRR, 2024)

Approximate planning in spatial search. - Marta Kryven; Suhyoun Yu; Max Kleiman-Weiner; Tomer D. Ullman; Joshua B. Tenenbaum (PLoS Comput. Biol., 2024)

When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. - Edmond Awad; Sydney Levine; Andrea Loreggia; Nicholas Mattei; Iyad Rahwan; Francesca Rossi 001; Kartik Talamadupula; Joshua B. Tenenbaum; Max Kleiman-Weiner (Auton. Agents Multi Agent Syst., 2024)

Language Model Alignment in Multilingual Trolley Problems. - Zhijing Jin 001; Max Kleiman-Weiner; Giorgio Piatti; Sydney Levine; Jiarui Liu 004; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi 001; Bernhard Schölkopf (ICLR, 2025)

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgements Based on Empirical Data (Extended Abstract). - Edmond Awad; Sydney Levine; Andrea Loreggia; Nicholas Mattei; Iyad Rahwan; Francesca Rossi 001; Kartik Talamadupula; Joshua B. Tenenbaum; Max Kleiman-Weiner (AAMAS, 2025)

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. - Kunal Jha; Wilka Carvalho; Yancheng Liang; Simon S. Du; Max Kleiman-Weiner; Natasha Jaques (CoRR, 2025)

Are Language Models Consequentialist or Deontological Moral Reasoners? - Keenan Samway; Max Kleiman-Weiner; David Guzman Piedrahita; Rada Mihalcea; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

The Lock-in Hypothesis: Stagnation by Algorithm. - Tianyi Alex Qiu; Zhonghao He; Tejasveer Chugh; Max Kleiman-Weiner (CoRR, 2025)

Preserving Sense of Agency: User Preferences for Robot Autonomy and User Control across Household Tasks. - Claire Yang; Heer Patel; Max Kleiman-Weiner; Maya Cakmak (CoRR, 2025)