--- title: "Haidar Khan — author profile and papers — Elamur Research" description: "Haidar Khan, Meta: 3 papers on Elamur Research (2022–2024), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haidar-khan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haidar-khan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haidar Khan # Haidar Khan Haidar Khan has 3 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [M Saiful Bari](https://md.research.elamur.ai/free/en/authors/m-saiful-bari/), [Andy Rosenbaum](https://md.research.elamur.ai/free/en/authors/andy-rosenbaum/), [Anna Rumshisky](https://md.research.elamur.ai/free/en/authors/anna-rumshisky/). 3 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5083382561) · [ORCID](https://orcid.org/0000-0003-1617-3208) · [**h-index 11**](https://openalex.org/authors/A5083382561) · [33 works](https://openalex.org/works?filter=author.id:A5083382561) · [718 citations](https://openalex.org/works?filter=author.id:A5083382561&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/haidar-khan/#papers) · [🔗 Cited 270 times in our library](https://md.research.elamur.ai/free/en/authors/haidar-khan/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5856](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5856) 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=Haidar+Khan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haidar+Khan) · [dblp](https://dblp.org/search?q=Haidar+Khan) · [ACL Anthology](https://aclanthology.org/search/?q=Haidar+Khan) ## Affiliations [🏢**Meta** Menlo Park · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Amazon** Seattle · United States 2019–2023 · 11 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Rensselaer Polytechnic Institute** Troy · United States 2017–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/rensselaer-polytechnic-institute/) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/haidar-khan/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/haidar-khan/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations](https://md.research.elamur.ai/free/en/papers/laskar-2024-systematic-survey-critical-review-evaluating/)** *(2024 · 105 citations)* LLM evaluation results often conflict across studies because each study sets up its experiments differently. 2. **[AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model](https://md.research.elamur.ai/free/en/papers/soltan-2022-alexatm-20b-few-shot-learning/)** *(2022 · 84 citations)* Large language models that learn from a few examples in the prompt have mostly been decoder-only. Their left-to-right attention can be a handicap when the input is long. This Amazon Alexa AI paper asks whether an encoder-decoder model can be an equally strong in-context learner. 3. **[When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-benchmarks-targets-revealing-sensitivity-large/)** *(2024 · 74 citations)* The authors, from NCAI (SDAIA, Riyadh), test whether LLM leaderboards built on multiple-choice question (MCQ) benchmarks can be trusted. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations](https://md.research.elamur.ai/free/en/papers/laskar-2024-systematic-survey-critical-review-evaluating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.*2024 · 105 citations* 2. [**AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model arXiv:2208.01448**Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, et al.*2022 · 84 citations*](https://md.research.elamur.ai/free/en/papers/soltan-2022-alexatm-20b-few-shot-learning/) 3. [**When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards arXiv:2402.01781**Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, et al.*2024 · 74 citations*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-benchmarks-targets-revealing-sensitivity-large/) 4. **[Using multiple ASR hypotheses to boost i18n NLU performance ↗](https://aclanthology.org/2020.icon-main.5/) Proceedings of the 17th International Conference on Natural Language Processing (ICON) · no summary yet**Charith Peris et al.*2020 · 1 citation* ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [M Saiful Bari](https://md.research.elamur.ai/free/en/authors/m-saiful-bari/) ×2 - [Andy Rosenbaum](https://md.research.elamur.ai/free/en/authors/andy-rosenbaum/) - [Anna Rumshisky](https://md.research.elamur.ai/free/en/authors/anna-rumshisky/) - [Areeb Alowisheq](https://md.research.elamur.ai/free/en/authors/areeb-alowisheq/) - [Charith Peris](https://md.research.elamur.ai/free/en/authors/charith-peris/) - [Enamul Hoque](https://md.research.elamur.ai/free/en/authors/enamul-hoque/) - [Faisal Abdulrahman Mirza](https://md.research.elamur.ai/free/en/authors/faisal-abdulrahman-mirza/) - [Hisham Abdullah Alyahya](https://md.research.elamur.ai/free/en/authors/hisham-abdullah-alyahya/) - [Md Rizwan Parvez](https://md.research.elamur.ai/free/en/authors/md-rizwan-parvez/) - [Md Tahmid Rahman Laskar](https://md.research.elamur.ai/free/en/authors/md-tahmid-rahman-laskar/) - [Mizanur Rahman](https://md.research.elamur.ai/free/en/authors/mizanur-rahman/) - [Mohammad Abdullah Matin Khan](https://md.research.elamur.ai/free/en/authors/mohammad-abdullah-matin-khan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - Proceedings of the 17th International Conference on Natural Language Processing (ICON) ## Cited by Papers of our library cite their works 270 times (of the 149,439 papers whose bibliographies we read); [136 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haidar-khan/cited-by/). Updated 2 November 2026