🧑‍🔬 Dorsa Sadigh

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2016–2026 · 139 papersEmploymentcurrent🎓University of California, BerkeleyBerkeley · United States2011–2023 · 24 papersEducation🏢Google DeepMindLondon · United Kingdom2023–2025 · 8 papers🏢GoogleMountain View · United States2023–2025 · 4 papers🎓Princeton UniversityPrinceton · United States2021–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. Large Language Models as General Pattern Machines (2023 · 88 citations)
   The paper asks whether pre-trained LLMs, used with no fine-tuning, can act as generic engines for recognizing and continuing abstract, non-linguistic patterns, and whether this skill transfers to low-level robot control.
2. Reward Design with Language Models (2023 · 73 citations)
   Telling an RL agent what to do is difficult. Hand-written reward functions struggle to capture fuzzy goals, such as wanting a negotiator to be "versatile," and they are prone to reward hacking. Learning rewards from labels instead requires large, costly datasets that must be gathered again for every new user. The…
3. Continual Adaptation for Efficient Machine Communication (2020 · 38 citations)
   Neural language models can reproduce the conventions in their training data, but unlike people they cannot invent new shorthand with a specific partner during an interaction.

All works

23 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities ↗arXiv:2401.12168 · no summary yetBoyuan Chen et al.2024 · 340 citations
2. OpenVLA: An Open-Source Vision-Language-Action Model ↗arXiv:2406.09246 · no summary yetMoo Jin Kim et al.2024 · 254 citations
3. Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗arXiv:2310.08864 · no summary yetEmbodiment Collaboration et al.2023 · 204 citations
4. Multi-Agent Generative Adversarial Imitation Learning ↗arXiv (Cornell University) · no summary yetJiaming Song et al.2018 · 124 citations
5. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
6. Language-Driven Representation Learning for Robotics ↗arXiv:2302.12766 · no summary yetSiddharth Karamcheti et al.2023 · 88 citations
7. Reward Design with Language ModelsarXiv:2303.00001Minae Kwon, Sang Michael Xie, Kalesha Bullard, et al.2023 · 73 citations
8. No, to the Right ↗ACM/IEEE International Conference on Human-Robot Interaction (HRI) · no summary yetYuchen Cui et al.2023 · 61 citations
9. Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ↗arXiv (Cornell University) · no summary yetSiddharth Karamcheti et al.2024 · 51 citations
10. Parallel Sampling of Diffusion Models ↗neural information processing systems · no summary yetAndy Shih et al.2023 · 48 citations
11. Strategic Reasoning with Language Models ↗arXiv:2305.19165 · no summary yetKanishk Gandhi, Dorsa Sadigh, Noah D. Goodman2023 · 40 citations
12. Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations
13. On the Critical Role of Conventions in Adaptive Human-AI Collaboration ↗arXiv (Cornell University) · no summary yetAndy Shih et al.2021 · 36 citations
14. Learning Adaptive Language Interfaces through Decomposition ↗Proceedings of the First Workshop on Interactive and Executable Semantic Parsing · no summary yetSiddharth Karamcheti, Dorsa Sadigh, Percy Liang2020 · 34 citations
15. Training and Inference on Any-Order Autoregressive Models the Right Way ↗neural information processing systems · no summary yetAndy Shih, Dorsa Sadigh, Stefano Ermon2022 · 10 citations
16. Imitation Learning by Estimating Expertise of Demonstrators ↗arXiv (Cornell University) · no summary yetMark Beliaev et al.2022 · 9 citations
17. LILA: Language-Informed Latent Actions ↗arXiv (Cornell University) · no summary yetSiddharth Karamcheti et al.2021 · 9 citations
18. Long Horizon Temperature Scaling ↗arXiv (Cornell University) · no summary yetShih, Andy, Dorsa Sadigh, Stefano Ermon2023 · 8 citations
19. Conditional Imitation Learning for Multi-Agent Games ↗ACM/IEEE International Conference on Human-Robot Interaction (HRI) · no summary yetAndy Shih, Stefano Ermon, Dorsa Sadigh2022 · 7 citations
20. BLEU Neighbors: A Reference-less Approach to Automatic Evaluation ↗Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems · no summary yetKawin Ethayarajh, Dorsa Sadigh2020 · 7 citations
21. HyperSPNs: Compact and Expressive Probabilistic Circuits ↗arXiv (Cornell University) · no summary yetAndy Shih, Dorsa Sadigh, Stefano Ermon2021 · 2 citations
22. Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration ↗arXiv (Cornell University) · no summary yetJennifer Grannen et al.2024 · 1 citation
23. Robot learning and adaptation in the wild ↗Stanford Digital Repository · no summary yetJennifer Grannen et al.2026

🤝 Co-authors here

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

• Minae Kwon ×2
• Andy Zeng
• Brian Ichter
• Danny Driess
• Fei Xia
• Noah D. Goodman
• Robert Hawkins
• Sang Michael Xie

Venues

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

• ACM/IEEE International Conference on Human-Robot Interaction (HRI) ×2
• neural information processing systems ×2
• Conference on Computational Natural Language Learning (CoNLL): CoNLL 2020
• Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems
• Proceedings of the First Workshop on Interactive and Executable Semantic Parsing
• Stanford Digital Repository

🔗 Cited by

Papers of our library cite their works 1,676 times (of the 149,439 papers whose bibliographies we read); 278 citing papers with a page here →.

Updated 2 November 2026

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