🧑‍🔬 Tobias Gerstenberg

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2015–2026 · 103 papersEmployment since 2018 · Assistant Professor, Psychologycurrent🎓Massachusetts Institute of TechnologyCambridge · United States2014–2021 · 23 papers🎓University College LondonLondon · United Kingdom2009–2018 · 13 papersEducation 2009–2013 · PhD, Experimental Psychology🎓University of GöttingenGöttingen · Germany2018–2020 · 4 papers🎓Dartmouth CollegeHanover · United States2023 · 2 papers🎓New York UniversityNew York · United States2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks (2023 · 41 citations)
   Large language models are increasingly used as stand-ins for people, yet aggregate accuracy scores reveal little about whether they reason like humans.
2. Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels (2024 · 16 citations)
   Teaching a language model to respect a set of behavioral rules (a "constitution") usually depends on human preference labels, curated demonstrations, or reward models with reinforcement learning.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Explanations Can Reduce Overreliance on AI Systems During Decision-Making ↗Proceedings of the ACM on Human-Computer Interaction · no summary yetHelena Vasconcelos et al.2023 · 407 citations
2. STaR-GATE: Teaching Language Models to Ask Clarifying Questions ↗arXiv:2403.19154 · no summary yetChinmaya Andukuri et al.2024 · 43 citations
3. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksConference on Neural Information Processing Systems (NeurIPS)Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.2023 · 41 citations
4. Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference LabelsConference on Neural Information Processing Systems (NeurIPS)Jan-Philipp Franken, Eric Zelikman, Rafael Rafailov, et al.2024 · 16 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Allen Nie
• Eric Zelikman
• Kanishk Gandhi
• Noah D. Goodman
• Rafael Rafailov
• Tatsunori Hashimoto
• Yuhui Zhang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Neural Information Processing Systems (NeurIPS) ×2: NeurIPS 2024, NeurIPS 2023
• Proceedings of the ACM on Human-Computer Interaction

🔗 Cited by

Papers of our library cite their works 1,315 times (of the 149,439 papers whose bibliographies we read); 312 citing papers with a page here →.

Updated 30 October 2026

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