--- title: "Anikait Singh · Stanford University — author profile and papers" description: "Anikait Singh, Stanford University: 2 papers on Elamur Research (2024–2025), h-index 7 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/anikait-singh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/anikait-singh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Anikait Singh # Anikait Singh Anikait Singh has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/), [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/), [Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5088818925) · [**h-index 7**](https://openalex.org/authors/A5088818925) · [25 works](https://openalex.org/works?filter=author.id:A5088818925) · [654 citations](https://openalex.org/works?filter=author.id:A5088818925&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/anikait-singh/#papers) · [🔗 Cited 447 times in our library](https://md.research.elamur.ai/free/en/authors/anikait-singh/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6248](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6248) 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=Anikait+Singh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Anikait+Singh) · [dblp](https://dblp.org/search?q=Anikait+Singh) · [ACL Anthology](https://aclanthology.org/search/?q=Anikait+Singh) ## Affiliations [🎓**Stanford University** Stanford · United States 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Google DeepMind** London · United Kingdom 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 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 · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/anikait-singh/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/anikait-singh/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs](https://md.research.elamur.ai/free/en/papers/gandhi-2025-cognitive-behaviors-that-enable-self/)** *(2025 · 123 citations)* Why do some base language models gain a lot from reinforcement learning on verifiable tasks while others stall? The authors observe that Qwen-2.5-3B improves sharply on the Countdown arithmetic puzzle under a given RL setup, while Llama-3.2-3B, trained the same way, barely moves. 2. **[Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation](https://md.research.elamur.ai/free/en/papers/manvi-2024-adaptive-inference-time-compute-llms/)** *(2024 · 22 citations)* Best-of-N sampling makes LLM outputs better, but it is expensive. It needs a separate reward model and always generates a fixed, large number of candidates. Manvi, Singh and Ermon propose "capability-aware self-evaluation" to cut this cost. After a partial or complete answer, the model sees a short self-evaluation… ## All works 11 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. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 ↗](https://doi.org/10.1109/icra57147.2024.10611477) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Abby O'Neill et al.*2024 · 231 citations* 2. **[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* 3. [**Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs arXiv:2503.01307**Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.*2025 · 123 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2025-cognitive-behaviors-that-enable-self/) 4. **[Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ↗](https://arxiv.org/abs/2404.14367) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2024 · 54 citations* 5. **[Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought ↗](https://arxiv.org/abs/2501.04682) arXiv:2501.04682 · no summary yet**Violet Xiang et al.*2025 · 47 citations* 6. **[Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models ↗](https://arxiv.org/abs/2502.17387) arXiv:2502.17387 · no summary yet**Alon Albalak et al.*2025 · 43 citations* 7. [**Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation arXiv:2410.02725**Rohin Manvi, Anikait Singh, Stefano Ermon*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/manvi-2024-adaptive-inference-time-compute-llms/) 8. **[Personalized Preference Fine-tuning of Diffusion Models ↗](https://doi.org/10.1109/cvpr52734.2025.00751) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Meihua Dang et al.*2025 · 5 citations* 9. **[FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users ↗](https://arxiv.org/abs/2502.19312) arXiv (Cornell University) · no summary yet**Anikait Singh et al.*2025 · 5 citations* 10. **[RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems ↗](https://arxiv.org/abs/2510.02263) arXiv (Cornell University) · no summary yet**Qu, Yuxiao et al.*2025 · 3 citations* 11. **[MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline ↗](https://arxiv.org/abs/2510.07307) arXiv (Cornell University) · no summary yet**Rushi Qiang et al.*2025 · 2 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/) - [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) - [Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - Proceedings - IEEE International Conference on Robotics and Automation/Proceedings ## Cited by Papers of our library cite their works 447 times (of the 149,439 papers whose bibliographies we read); [74 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/anikait-singh/cited-by/). Updated 30 October 2026