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Mohammad Kalim Akram

Mohammad Kalim Akram has 2 papers in our library, in 2023–2024, most of them on Multilingual & cross-lingual NLP; often with Bo Wang, Georgios Mastrapas, Isabelle Mohr.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 4 · 13 works · 74 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 153 times in our library · ⭐ Paper Stars ranking: #6653

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. jina-embeddings-v3: Multilingual Embeddings With Task LoRA (2024 · 109 citations)
    General-purpose text embedding models often still need task-specific fine-tuning. LLM-based embedders, typically around 7B parameters, are expensive to deploy for small gains. The authors present jina-embeddings-v3, a 570M-parameter multilingual encoder built on XLM-RoBERTa, keeping its original tokenizer. They…
  2. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents (2023 · 75 citations)
    Most open-source text embedding models inherit BERT's 512-token input limit. Long documents must therefore be truncated or split into chunks, which fragments their meaning and multiplies the number of vectors to store and search. The Jina AI team presents Jina Embeddings v2, an English embedding suite that accepts…

 Co-authors here

9 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 153 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

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