--- title: "Dorsa Sadigh · Stanford University — author profile and papers" description: "Dorsa Sadigh, Stanford University: 3 papers on Elamur Research (2020–2023), h-index 46 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/dorsa-sadigh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dorsa-sadigh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dorsa Sadigh # Dorsa Sadigh Dorsa Sadigh has 3 papers in our library, in 2020–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Minae Kwon](https://md.research.elamur.ai/free/en/authors/minae-kwon/), [Andy Zeng](https://md.research.elamur.ai/free/en/authors/andy-zeng/), [Brian Ichter](https://md.research.elamur.ai/free/en/authors/brian-ichter/). 3 papers in our library · 2020–2023 [OpenAlex](https://openalex.org/A5080725225) · [ORCID](https://orcid.org/0000-0002-7802-9183) · [Wikidata](https://www.wikidata.org/wiki/Q97099813) · [**h-index 46**](https://openalex.org/authors/A5080725225) · [266 works](https://openalex.org/works?filter=author.id:A5080725225) · [8,946 citations](https://openalex.org/works?filter=author.id:A5080725225&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/dorsa-sadigh/#papers) · [🔗 Cited 1,676 times in our library](https://md.research.elamur.ai/free/en/authors/dorsa-sadigh/cited-by/) · [20 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6475](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6475) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Dorsa+Sadigh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dorsa+Sadigh) · [dblp](https://dblp.org/search?q=Dorsa+Sadigh) · [ACL Anthology](https://aclanthology.org/search/?q=Dorsa+Sadigh) ## Affiliations [🎓**Stanford University** Stanford · United States 2016–2026 · 139 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2011–2023 · 24 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Google DeepMind** London · United Kingdom 2023–2025 · 8 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Princeton University** Princeton · United States 2021–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) 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. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/dorsa-sadigh/year/2023/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/dorsa-sadigh/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models as General Pattern Machines](https://md.research.elamur.ai/free/en/papers/mirchandani-2023-large-language-models-general-pattern/)** *(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](https://md.research.elamur.ai/free/en/papers/kwon-2023-reward-design-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](https://md.research.elamur.ai/free/en/papers/hawkins-2020-continual-adaptation-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 ↗](https://arxiv.org/abs/2401.12168) arXiv:2401.12168 · no summary yet**Boyuan Chen et al.*2024 · 340 citations* 2. **[OpenVLA: An Open-Source Vision-Language-Action Model ↗](https://arxiv.org/abs/2406.09246) arXiv:2406.09246 · no summary yet**Moo Jin Kim et al.*2024 · 254 citations* 3. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗](https://arxiv.org/abs/2310.08864) arXiv:2310.08864 · no summary yet**Embodiment Collaboration et al.*2023 · 204 citations* 4. **[Multi-Agent Generative Adversarial Imitation Learning ↗](https://arxiv.org/abs/1807.09936) arXiv (Cornell University) · no summary yet**Jiaming Song et al.*2018 · 124 citations* 5. [**Large Language Models as General Pattern Machines arXiv:2307.04721**Suvir Mirchandani, Fei Xia, Pete Florence, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/mirchandani-2023-large-language-models-general-pattern/) 6. **[Language-Driven Representation Learning for Robotics ↗](https://doi.org/10.15607/rss.2023.xix.032) arXiv:2302.12766 · no summary yet**Siddharth Karamcheti et al.*2023 · 88 citations* 7. [**Reward Design with Language Models arXiv:2303.00001**Minae Kwon, Sang Michael Xie, Kalesha Bullard, et al.*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kwon-2023-reward-design-language-models/) 8. **[No, to the Right ↗](https://doi.org/10.1145/3568162.3578623) ACM/IEEE International Conference on Human-Robot Interaction (HRI) · no summary yet**Yuchen Cui et al.*2023 · 61 citations* 9. **[Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ↗](https://arxiv.org/abs/2402.07865) arXiv (Cornell University) · no summary yet**Siddharth Karamcheti et al.*2024 · 51 citations* 10. **[Parallel Sampling of Diffusion Models ↗](https://doi.org/10.52202/075280-0188) neural information processing systems · no summary yet**Andy Shih et al.*2023 · 48 citations* 11. **[Strategic Reasoning with Language Models ↗](https://arxiv.org/abs/2305.19165) arXiv:2305.19165 · no summary yet**Kanishk Gandhi, Dorsa Sadigh, Noah D. Goodman*2023 · 40 citations* 12. **[Continual Adaptation for Efficient Machine Communication](https://md.research.elamur.ai/free/en/papers/hawkins-2020-continual-adaptation-efficient-machine-communication/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.*2020 · 38 citations* 13. **[On the Critical Role of Conventions in Adaptive Human-AI Collaboration ↗](https://arxiv.org/abs/2104.02871) arXiv (Cornell University) · no summary yet**Andy Shih et al.*2021 · 36 citations* 14. **[Learning Adaptive Language Interfaces through Decomposition ↗](https://aclanthology.org/2020.intexsempar-1.4/) Proceedings of the First Workshop on Interactive and Executable Semantic Parsing · no summary yet**Siddharth Karamcheti, Dorsa Sadigh, Percy Liang*2020 · 34 citations* 15. **[Training and Inference on Any-Order Autoregressive Models the Right Way ↗](https://doi.org/10.52202/068431-0200) neural information processing systems · no summary yet**Andy Shih, Dorsa Sadigh, Stefano Ermon*2022 · 10 citations* 16. **[Imitation Learning by Estimating Expertise of Demonstrators ↗](https://arxiv.org/abs/2202.01288) arXiv (Cornell University) · no summary yet**Mark Beliaev et al.*2022 · 9 citations* 17. **[LILA: Language-Informed Latent Actions ↗](https://arxiv.org/abs/2111.03205) arXiv (Cornell University) · no summary yet**Siddharth Karamcheti et al.*2021 · 9 citations* 18. **[Long Horizon Temperature Scaling ↗](https://arxiv.org/abs/2302.03686) arXiv (Cornell University) · no summary yet**Shih, Andy, Dorsa Sadigh, Stefano Ermon*2023 · 8 citations* 19. **[Conditional Imitation Learning for Multi-Agent Games ↗](https://doi.org/10.1109/hri53351.2022.9889671) ACM/IEEE International Conference on Human-Robot Interaction (HRI) · no summary yet**Andy Shih, Stefano Ermon, Dorsa Sadigh*2022 · 7 citations* 20. **[BLEU Neighbors: A Reference-less Approach to Automatic Evaluation ↗](https://aclanthology.org/2020.eval4nlp-1.5/) Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems · no summary yet**Kawin Ethayarajh, Dorsa Sadigh*2020 · 7 citations* 21. **[HyperSPNs: Compact and Expressive Probabilistic Circuits ↗](https://arxiv.org/abs/2112.00914) arXiv (Cornell University) · no summary yet**Andy Shih, Dorsa Sadigh, Stefano Ermon*2021 · 2 citations* 22. **[Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration ↗](https://arxiv.org/abs/2411.02599) arXiv (Cornell University) · no summary yet**Jennifer Grannen et al.*2024 · 1 citation* 23. **[Robot learning and adaptation in the wild ↗](https://doi.org/10.25740/cd910vp6663) Stanford Digital Repository · no summary yet**Jennifer Grannen et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Minae Kwon](https://md.research.elamur.ai/free/en/authors/minae-kwon/) ×2 - [Andy Zeng](https://md.research.elamur.ai/free/en/authors/andy-zeng/) - [Brian Ichter](https://md.research.elamur.ai/free/en/authors/brian-ichter/) - [Danny Driess](https://md.research.elamur.ai/free/en/authors/danny-driess/) - [Fei Xia](https://md.research.elamur.ai/free/en/authors/fei-xia/) - [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) - [Robert Hawkins](https://md.research.elamur.ai/free/en/authors/robert-hawkins/) - [Sang Michael Xie](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2020](https://md.research.elamur.ai/free/en/venues/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 →](https://md.research.elamur.ai/free/en/authors/dorsa-sadigh/cited-by/). Updated 2 November 2026