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Aman Sinha

Aman Sinha has 3 papers in our library, in 2020–2026, most of them on Language models & pretraining, Sentiment & emotion; often with Mathieu Constant, Philipp Mondorf, Pontus Stenetorp.

3 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 2 · 9 works · 5 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #8158

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

🎓Université de LorraineNancy · France2025–2026 · 5 paperscurrent🔬Analyse et Traitement Informatique de la Langue FrançaiseNancy · France2025–2026 · 4 paperscurrent🎓Indian Institute of Science Education and Research KolkataKolkata · India2023–2024 · 3 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. C-Net: Contextual Network for Sarcasm Detection (2020 · 38 citations)
    The paper tackles sarcasm detection in online conversations, where a reply often reads as sarcastic only in light of the preceding dialogue.
  2. Language Models Learn Universal Representations of Numbers and Here's Why You Should Care (2026)
    The paper asks how consistently large language models encode numbers. Earlier studies found sine-like number embeddings but did not measure how closely they match across models, and they did not use natural-language contexts. The authors examine eight open checkpoints from the OLMo 2, Llama 3 and Phi 4 families. They…
  3. Medical Context Variation: A source of impairment for Event classification (2026)
    Clinical notes are mostly free text, and each clinician writes them differently. This case study asks whether that stylistic variation weakens pre-trained language models on medication-event context classification. The authors use the CMED corpus, which contains 500 annotated notes on Type II Diabetes patients from…

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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