--- title: "Andrea Zanette — author profile and papers — Elamur Research" description: "Andrea Zanette, Carnegie Mellon University: 4 papers on Elamur Research (2024–2025), h-index 9 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/andrea-zanette/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/andrea-zanette/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Andrea Zanette # Andrea Zanette Andrea Zanette has 4 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Aviral Kumar](https://md.research.elamur.ai/free/en/authors/aviral-kumar/), [Daman Arora](https://md.research.elamur.ai/free/en/authors/daman-arora/), [Jiahao Qiu](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/). 4 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5055456006) · [**h-index 9**](https://openalex.org/authors/A5055456006) · [43 works](https://openalex.org/works?filter=author.id:A5055456006) · [234 citations](https://openalex.org/works?filter=author.id:A5055456006&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/andrea-zanette/#papers) · [🔗 Cited 194 times in our library](https://md.research.elamur.ai/free/en/authors/andrea-zanette/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6805](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6805) 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=Andrea+Zanette) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Andrea+Zanette) · [dblp](https://dblp.org/search?q=Andrea+Zanette) · [ACL Anthology](https://aclanthology.org/search/?q=Andrea+Zanette) ## Affiliations [🎓**Carnegie Mellon University** Pittsburgh · United States 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Stanford University** Stanford · United States 2018–2021 · 13 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/andrea-zanette/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/andrea-zanette/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Training Language Models to Reason Efficiently](https://md.research.elamur.ai/free/en/papers/arora-2025-training-language-models-reason-efficiently/)** *(2025 · 74 citations)* Large reasoning models solve hard problems by producing very long chains of thought. This makes serving them expensive and slow, because attention cost grows quadratically and the KV cache grows linearly with length. Arora and Zanette propose teaching such models to reach correct answers with fewer tokens. They use… 2. **[ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL](https://md.research.elamur.ai/free/en/papers/zhou-2024-archer-training-language-model-agents/)** *(2024 · 54 citations)* Most reinforcement learning for LLMs optimizes one response at a time. As a result, agents cannot learn to gather information over several turns, credit early actions for delayed outcomes, or build on earlier steps. The authors introduce ArCHer (Actor-Critic Framework with a Hierarchical Structure), which splits… 3. **[Fast Best-of-N Decoding via Speculative Rejection](https://md.research.elamur.ai/free/en/papers/sun-2024-fast-best-n-decoding-speculative/)** *(2024 · 50 citations)* Best-of-N aligns an LLM at inference time without retraining. It samples many candidate answers and keeps the one a reward model rates highest. It can rival post-training methods such as RLHF or DPO, but competitive N values run into the thousands, which would need many accelerators. The authors observe that reward… 4. **[Can Large Reasoning Models Self-Train?](https://md.research.elamur.ai/free/en/papers/shafayat-2025-large-reasoning-models-self-train/)** *(2025 · 16 citations)* The paper asks whether a reasoning model can keep improving through reinforcement learning when no ground-truth answers are available and the training signal comes only from the model itself. ## All works 7 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Training Language Models to Reason Efficiently](https://md.research.elamur.ai/free/en/papers/arora-2025-training-language-models-reason-efficiently/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Daman Arora, Andrea Zanette*2025 · 74 citations* 2. [**ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL arXiv:2402.19446**Yifei Zhou, Andrea Zanette, Jiayi Pan, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-archer-training-language-model-agents/) 3. **[Fast Best-of-N Decoding via Speculative Rejection](https://md.research.elamur.ai/free/en/papers/sun-2024-fast-best-n-decoding-speculative/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hanshi Sun, Momin Haider, Ruiqi Zhang, et al.*2024 · 50 citations* 4. [**Can Large Reasoning Models Self-Train? arXiv:2505.21444**Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/shafayat-2025-large-reasoning-models-self-train/) 5. **[Maximum Likelihood Reinforcement Learning ↗](https://arxiv.org/abs/2602.02710) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2026 · 4 citations* 6. **[Tail-Likelihood Reinforcement Learning ↗](https://arxiv.org/abs/2609.02987) arXiv (Cornell University) · no summary yet**Shrinivas Ramasubramanian et al.*2026 · 1 citation* 7. **[Harness Learning Enables Generalizable Test-Time Adaptation ↗](https://arxiv.org/abs/2609.35738) arXiv (Cornell University) · no summary yet**Alvin Zhang et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Aviral Kumar](https://md.research.elamur.ai/free/en/authors/aviral-kumar/) - [Daman Arora](https://md.research.elamur.ai/free/en/authors/daman-arora/) - [Jiahao Qiu](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/) - [Jiayi Pan](https://md.research.elamur.ai/free/en/authors/jiayi-pan/) - [Mengdi Wang](https://md.research.elamur.ai/free/en/authors/mengdi-wang/) - [Ming Yin](https://md.research.elamur.ai/free/en/authors/ming-yin/) - [Peter L. Bartlett](https://md.research.elamur.ai/free/en/authors/peter-l-bartlett/) - [Ruiqi Zhang](https://md.research.elamur.ai/free/en/authors/ruiqi-zhang/) - [Ruslan Salakhutdinov](https://md.research.elamur.ai/free/en/authors/ruslan-salakhutdinov/) - [Sergey Levine](https://md.research.elamur.ai/free/en/authors/sergey-levine/) - [Sheikh Shafayat](https://md.research.elamur.ai/free/en/authors/sheikh-shafayat/) ## 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)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/), [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 194 times (of the 149,439 papers whose bibliographies we read); [85 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/andrea-zanette/cited-by/). Updated 3 November 2026