--- title: "Sandipan Sikdar — author profile and papers in our library" description: "Sandipan Sikdar, L3S Research Center: 2 papers on Elamur Research (2026), h-index 7 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/sandipan-sikdar/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sandipan-sikdar/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sandipan Sikdar # Sandipan Sikdar Sandipan Sikdar has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Abhik Jana](https://md.research.elamur.ai/free/en/authors/abhik-jana/), [Wolfgang Nejdl](https://md.research.elamur.ai/free/en/authors/wolfgang-nejdl/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5015963208) · [ORCID](https://orcid.org/0000-0001-8052-8961) · [**h-index 7**](https://openalex.org/authors/A5015963208) · [31 works](https://openalex.org/works?filter=author.id:A5015963208) · [145 citations](https://openalex.org/works?filter=author.id:A5015963208&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sandipan-sikdar/#papers) · [⭐ Paper Stars ranking: #12208](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12208) 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=Sandipan+Sikdar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sandipan+Sikdar) · [dblp](https://dblp.org/search?q=Sandipan+Sikdar) · [ACL Anthology](https://aclanthology.org/search/?q=Sandipan+Sikdar) ## Affiliations [🔬**L3S Research Center** Hanover · Germany 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/labs/l3s-research-center/) · [🎓**Indian Institute of Technology Kharagpur** Kharagpur · India 2013–2018 · 13 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-kharagpur/) · [🎓**Leibniz University Hannover** Hanover · Germany 2023–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/leibniz-university-hannover/) 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. ## 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/sandipan-sikdar/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)** *(2026)* Leading multimodal classifiers usually depend on large, computationally expensive architectures. This paper asks whether a much smaller design can reach similar accuracy. The authors build a framework around early fusion. Pretrained encoders turn each modality into an embedding: CLIP for text, images and video… 2. **[When Facts Change: Temporal Knowledge Conflict Resolution in LLMs](https://md.research.elamur.ai/free/en/papers/wallat-2026-when-facts-change-temporal-knowledge/)** *(2026)* The paper examines how LLMs handle clashes between what they learned in training and what a prompt tells them. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Abhik Jana](https://md.research.elamur.ai/free/en/authors/abhik-jana/) - [Wolfgang Nejdl](https://md.research.elamur.ai/free/en/authors/wolfgang-nejdl/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) Updated 1 November 2026