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Hootan Nakhost

Hootan Nakhost has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Reasoning; often with Chen-Yu Lee, Alexander Ratner, Cheng-Yu Hsieh.

2 papers in our library · 2023–2025

OpenAlex · h-index 13 · 44 works · 789 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 393 times in our library · ⭐ Paper Stars ranking: #3106

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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

 Papers

The most cited first (OpenAlex and our library).

  1. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes (2023 · 690 citations)
    Small task-specific models are cheap to serve, but they usually need many human labels (finetuning) or large pools of unlabeled data (distillation from an LLM) to approach LLM quality.
  2. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving (2025 · 16 citations)
    LLM-based agents and test-time search methods often fail on "natural planning" tasks, such as scheduling meetings or planning trips described in plain language.

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 393 times (of the 149,439 papers whose bibliographies we read); 69 citing papers with a page here →.

Updated

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