🧑‍🔬 Siddharth Karamcheti

🏛️ Affiliations

🔬Toyota Research InstitutePalo Alto · United States2026 · 2 paperscurrent🎓Stanford UniversityStanford · United States2020–2025 · 13 papers🏢MetaMenlo Park · United States2019–2020 · 4 papers🎓Brown UniversityProvidence · United States2017–2018 · 4 papers🏢MetaLondon · United Kingdom2019–2020 · 2 papers🎓New York UniversityNew York · United States2019 · 2 papers🏢BloombergNew 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.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Learning to Speak and Act in a Fantasy Text Adventure Game (2019 · 243 citations)
   Most dialogue systems learn only from text and never connect words to a world they can perceive or change.
2. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents (2023 · 197 citations)
   High-performing vision-language systems such as Flamingo and KOSMOS-1 learn from web pages in which pictures and prose alternate.
3. Finding Generalizable Evidence by Learning to Convince Q&A Models (2019 · 43 citations)
   The paper asks whether the passage sentences that best support an answer can be found automatically, and whether that evidence is useful beyond the model that produced it.

All works

13 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. OpenVLA: An Open-Source Vision-Language-Action Model ↗arXiv:2406.09246 · no summary yetMoo Jin Kim et al.2024 · 254 citations
2. Learning to Speak and Act in a Fantasy Text Adventure GamearXiv:1903.03094Jack Urbanek, Angela Fan, Siddharth Karamcheti, et al.2019 · 243 citations
3. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset ↗arXiv:2403.12945 · no summary yetAlexander Khazatsky et al.2024 · 234 citations
4. Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗arXiv:2310.08864 · no summary yetEmbodiment Collaboration et al.2023 · 204 citations
5. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
6. Language-Driven Representation Learning for Robotics ↗arXiv:2302.12766 · no summary yetSiddharth Karamcheti et al.2023 · 88 citations
7. Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetSiddharth Karamcheti et al.2021 · 79 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. Finding Generalizable Evidence by Learning to Convince Q&A ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Siddharth Karamcheti, Rob Fergus, et al.2019 · 43 citations
11. 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
12. LILA: Language-Informed Latent Actions ↗arXiv (Cornell University) · no summary yetSiddharth Karamcheti et al.2021 · 9 citations
13. Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration ↗arXiv (Cornell University) · no summary yetJennifer Grannen et al.2024 · 1 citation

🤝 Co-authors here

12 of 22 co-authors with a page, the most papers together first.

• Douwe Kiela ×3
• Jason Weston ×2
• Alexander M. Rush
• Amanpreet Singh
• Angela Fan
• Anton Lozhkov
• Arthur D. Szlam
• Emily Dinan
• Ethan Perez
• Hugo Laurençon
• Jack Urbanek
• Kyunghyun Cho

Venues

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

• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2019
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
• ACM/IEEE International Conference on Human-Robot Interaction (HRI)
• Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
• Proceedings of the First Workshop on Interactive and Executable Semantic Parsing

🔗 Cited by

Papers of our library cite their works 1,722 times (of the 149,439 papers whose bibliographies we read); 296 citing papers with a page here →.

Updated 2 November 2026

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