--- title: "Parishad BehnamGhader — author profile and papers in our library" description: "Parishad BehnamGhader, Mila - Quebec Artificial Intelligence Institute: 2 papers on Elamur Research (2024), h-index 4 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/parishad-behnamghader/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/parishad-behnamghader/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Parishad BehnamGhader # Parishad BehnamGhader Parishad BehnamGhader has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Siva Reddy](https://md.research.elamur.ai/free/en/authors/siva-reddy/), [Vaibhav Adlakha](https://md.research.elamur.ai/free/en/authors/vaibhav-adlakha/), [Dzmitry Bahdanau](https://md.research.elamur.ai/free/en/authors/dzmitry-bahdanau/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5063732194) · [ORCID](https://orcid.org/0009-0001-6117-8764) · [**h-index 4**](https://openalex.org/authors/A5063732194) · [17 works](https://openalex.org/works?filter=author.id:A5063732194) · [109 citations](https://openalex.org/works?filter=author.id:A5063732194&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/parishad-behnamghader/#papers) · [🔗 Cited 305 times in our library](https://md.research.elamur.ai/free/en/authors/parishad-behnamghader/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3943](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3943) 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=Parishad+BehnamGhader) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Parishad+BehnamGhader) · [dblp](https://dblp.org/search?q=Parishad+BehnamGhader) · [ACL Anthology](https://aclanthology.org/search/?q=Parishad+BehnamGhader) ## Affiliations [🎓**McGill University** Montreal · Canada 2022–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2022–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 2 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2024** 2 papers Parishad BehnamGhader's papers of 2024](https://md.research.elamur.ai/free/en/authors/parishad-behnamghader/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders](https://md.research.elamur.ai/free/en/papers/behnamghader-2024-llm2vec-large-language-models-secretly/)** *(2024 · 209 citations)* Decoder-only LLMs lead most NLP benchmarks, but they are rarely used as text embedders. One reason is causal attention, which lets each token see only its left context. The authors propose LLM2Vec, an unsupervised, label-free recipe that turns any decoder-only model into a general-purpose encoder in three stages.… 2. **[Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/)** *(2024 · 145 citations)* Instruction-following LLMs can answer questions when given retrieved passages and a task instruction, with no extra training. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders arXiv:2404.05961**Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.*2024 · 209 citations*](https://md.research.elamur.ai/free/en/papers/behnamghader-2024-llm2vec-large-language-models-secretly/) 2. **[Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.*2024 · 145 citations* 3. **[DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning ↗](https://arxiv.org/abs/2504.07128) arXiv:2504.07128 · no summary yet**Sara Vera Marjanovic et al.*2025 · 44 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Siva Reddy](https://md.research.elamur.ai/free/en/authors/siva-reddy/) ×2 - [Vaibhav Adlakha](https://md.research.elamur.ai/free/en/authors/vaibhav-adlakha/) ×2 - [Dzmitry Bahdanau](https://md.research.elamur.ai/free/en/authors/dzmitry-bahdanau/) - [Marius Mosbach](https://md.research.elamur.ai/free/en/authors/marius-mosbach/) - [Nicholas Meade](https://md.research.elamur.ai/free/en/authors/nicholas-meade/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/) ## Cited by Papers of our library cite their works 305 times (of the 141,840 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/parishad-behnamghader/cited-by/). Updated 24 October 2026