Publications

Preprints

[W2] Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation [★]

Akash Kundu⁼⁼, Emanuel Tewolde⁼⁼, Ratip Emin Berker, Samuel F. Brown, Vincent Conitzer
Presented at the workshop AI4GOOD@ICML26
Best Paper Honorable Mention at AI4GOOD@ICML26 -- Cooperative AI Track (Top 6 out of 539)
[arXiv]

[P2] Evaluating Strategic Reasoning in LLMs in Simulation-Augmented Trust Games

Claire Jin, Andy Liu, Emanuel Tewolde, Vincent Conitzer

[P1] The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents

Jiayuan Liu⁼⁼, Tianqin Li⁼⁼, Shiyi Du⁼⁼, Xin Luo⁼⁼, Haoxuan Zeng, Emanuel Tewolde, Tai Sing Lee, Tonghan Wang, Carl Kingsford, Vincent Conitzer
[arXiv]

[W1] Decision Making under Imperfect Recall: Algorithms and Benchmarks [★]

Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer
Presented at the workshop AIMS@ICLR26
[arXiv] [GitHub Repo]

Publications and Manuscripts

[J1] AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents

Alisia Lupidi⁼⁼, Bhavul Gauri⁼⁼, Thomas Simon Foster⁼⁼, Bassel Al Omari⁼⁼, Despoina Magka⁼⁼, ... (11 more authors) ..., Emanuel Tewolde, ... (18 more authors) ..., Jakob Foerster, Yoram Bachrach
Published in Transactions on Machine Learning Research (TMLR)
[published version] [arXiv]

[C15] What You Earn from What You Learn: Characterization and Complexity of Value of Information

Ratip Emin Berker⁼⁼, Ioannis Anagnostides⁼⁼, Emanuel Tewolde, Brian Hu Zhang, Tuomas Sandholm, Vincent Conitzer
To Appear In Web and Internet Economics (WINE) 2026

[C14] When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas

Steffen Backmann, David Guzman Piedrahita, Terry Jingchen Zhang, Emanuel Tewolde, Rada Mihalcea, Bernhard Schölkopf, Zhijing Jin
To Appear In Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and International Joint Conference on Natural Language Processing (IJCNLP) 2026
[published version] [arXiv]

[C13] The Complexity of Equilibrium Refinements in Potential Games

- αβ - | Ioannis Anagnostides, Maria-Florina Balcan, Kiriaki Fragkia, Tuomas Sandholm, Emanuel Tewolde, Brian Hu Zhang
To Appear In ACM Conference on Economics and Computation (EC) 2026
[arXiv]

[C12] CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas [★]

Emanuel Tewolde⁼⁼, Xiao Zhang⁼⁼, David Guzman Piedrahita, Vincent Conitzer⁺, Zhijing Jin⁺
Published In International Conference on Machine Learning (ICML) 2026
Best Paper Honorable Mention at AI4GOOD@ICML26 -- Cooperative AI Track (Top 6 out of 539)
[published version] [arXiv] [GitHub Repo] [video] [blog post]

[C11] Convergence of Regret Matching in Potential Games and Constrained Optimization [★]

Ioannis Anagnostides, Emanuel Tewolde, Brian Hu Zhang, Ioannis Panageas, Tuomas Sandholm, Vincent Conitzer
Published in International Conference on Learning Representations (ICLR) 2026
[published version] [arXiv]

[C10] On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting [★]

Ratip Emin Berker⁼⁼, Emanuel Tewolde⁼⁼, Vincent Conitzer, Mingyu Guo, Marijn Heule, Lirong Xia
Published in Association for the Advancement of Artificial Intelligence (AAAI) 2026
Oral
[published version] [arXiv] [GitHub Repo] [video]

[M1] What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity

Alexis Audran-Reiss, Jordi Armengol-Estapé, ... (12 more authors) ..., Emanuel Tewolde, ... (3 more authors) ..., Tatiana Shavrina, Yoram Bachrach
[arXiv]

[C9] Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia

Chandler Smith, Marwa Abdulhai, ... (15 more authors) ..., Emanuel Tewolde, ... (66 more authors) ..., Jose Hernandez-Orallo, Joel Z Leibo
Published in Neural Information Processing Systems (NeurIPS) 2025 -- Datasets and Benchmarks Track
[published version] [arXiv]

[C8] Expected Variational Inequalities

Brian Hu Zhang⁼⁼, Ioannis Anagnostides⁼⁼, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm
Published in International Conference on Machine Learning (ICML) 2025
Oral (Top 1.0% of submissions)
[published version] [arXiv]

[C7] Learning and Computation of Φ-Equilibria at the Frontier of Tractability

Brian Hu Zhang⁼⁼, Ioannis Anagnostides⁼⁼, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm
Published in ACM Conference on Economics and Computation (EC) 2025
[published version] [arXiv]

[C6] Computing Game Symmetries and Equilibria That Respect Them [★]

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Tuomas Sandholm, and Vincent Conitzer
Published in Association for the Advancement of Artificial Intelligence (AAAI) 2025
Oral (Top 4.6% of submissions)
Best Poster Award at AAAI 2025 (out of 674 posters)
[published version] [arXiv] [video] [blog post]

[C5] The Value of Recall in Extensive-Form Games

Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides, Tuomas Sandholm, and Vincent Conitzer
Published in Association for the Advancement of Artificial Intelligence (AAAI) 2025
Oral (Top 4.6%)
[published version] [arXiv]

[C4] Imperfect-Recall Games: Equilibrium Concepts and Their Complexity [★]

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul W. Goldberg, and Vincent Conitzer
Published in International Joint Conference on Artificial Intelligence (IJCAI) 2024
[published version] [arXiv]

[C3] Game Transformations That Preserve Nash Equilibria or Best-Response Sets

Emanuel Tewolde and Vincent Conitzer
Published in International Joint Conference on Artificial Intelligence (IJCAI) 2024
[published version] [arXiv]

[C2] Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback [★]

- αβ - | Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, and William S. Zwicker
Published in International Conference on Machine Learning (ICML) 2024 -- Position Paper Track
[published version] [arXiv] [video] [Featured on Interconnects]

[C1] The Computational Complexity of Single-Player Imperfect-Recall Games

Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, and Paul W. Goldberg
Published in International Joint Conference on Artificial Intelligence (IJCAI) 2023
[published version] [arXiv] [video]