--- title: "Mohammed Muqeeth — author profile and papers in our library" description: "Mohammed Muqeeth: 2 papers on Elamur Research (2022–2023), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/mohammed-muqeeth/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mohammed-muqeeth/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mohammed Muqeeth # Mohammed Muqeeth Mohammed Muqeeth has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/), [Haokun Liu](https://md.research.elamur.ai/free/en/authors/haokun-liu/), [Derek Tam](https://md.research.elamur.ai/free/en/authors/derek-tam/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5146610945) · [**h-index 1**](https://openalex.org/authors/A5146610945) · [1 works](https://openalex.org/works?filter=author.id:A5146610945) · [375 citations](https://openalex.org/works?filter=author.id:A5146610945&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mohammed-muqeeth/#papers) · [🔗 Cited 401 times in our library](https://md.research.elamur.ai/free/en/authors/mohammed-muqeeth/cited-by/) · [⭐ Paper Stars ranking: #3268](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3268) 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=Mohammed+Muqeeth) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mohammed+Muqeeth) · [dblp](https://dblp.org/search?q=Mohammed+Muqeeth) · [ACL Anthology](https://aclanthology.org/search/?q=Mohammed+Muqeeth) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](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/) 🧭 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/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) · [Fine-tuning · 1 work](https://md.research.elamur.ai/free/en/concepts/fine-tuning/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/mohammed-muqeeth/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/mohammed-muqeeth/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/)** *(2022 · 754 citations)* Few-shot in-context learning (ICL) lets a large language model take on a new task without training. However, every prediction must reprocess all demonstration examples, which is costly, and results shift with prompt wording and example order. The authors test whether parameter-efficient fine-tuning (PEFT) is a better… 2. **[Soft Merging of Experts with Adaptive Routing](https://md.research.elamur.ai/free/en/papers/muqeeth-2023-soft-merging-experts-adaptive-routing/)** *(2023 · 24 citations)* Models that route inputs to expert subnetworks promise modularity, but routers that make discrete expert choices often perform worse than parameter-matched dense models or simple hand-designed routing rules. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) ×2 - [Haokun Liu](https://md.research.elamur.ai/free/en/authors/haokun-liu/) ×2 - [Derek Tam](https://md.research.elamur.ai/free/en/authors/derek-tam/) - [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) - [Tenghao Huang](https://md.research.elamur.ai/free/en/authors/tenghao-huang/) ## 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/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) ## Cited by Papers of our library cite their works 401 times (of the 149,439 papers whose bibliographies we read); [83 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mohammed-muqeeth/cited-by/). Updated 3 November 2026