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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksLanguage and Linguistics · 1 workComputer Science · 2 worksArts and Humanities · 1 workMathematics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- 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. - 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
- Chen-Yu Lee ×2
- Alexander Ratner
- Cheng-Yu Hsieh
- Chitta Baral
- Chun-Liang Li
- Jindong Gu
- Long Le
- Mihir Parmar
- Palash Goyal
- Ranjay Krishna
- Swaroop Mishra
- Tomas Pfister
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
Cited by
Updated
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