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Luca Soldaini

Luca Soldaini has 2 papers in our library, in 2018–2024, most of them on Language models & pretraining, Vision & language; often with Andrew Yates, Arman Cohan, Christopher Clark.

2 papers in our library · 2018–2024

OpenAlex · ORCID · Wikidata · h-index 20 · 122 works · 1,160 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 1,060 citations in our library · 8 more in our library without a page yet · ⭐ Paper Star rank #4321

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. 14 more institutions 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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models (2024 · 184 citations)
    The strongest vision-language models (VLMs) are closed. Most capable open-weight alternatives are trained on captions or answers produced by proprietary systems such as GPT-4V. In effect they distill closed models, so it remains unclear how to build a strong VLM from scratch. The authors release Molmo, a family of…
  2. SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions (2018 · 89 citations)
    Studying how mental health conditions show up in everyday language requires large labeled collections of users, but expert annotation is costly and hard to arrange.

All works

10 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. What's In My Big Data? (original ↗)Yanai Elazar et al.2023 · arXiv:2310.20707 · 85 citations · no summary yet
  2. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs (original ↗)Akari Asai et al.2024 · arXiv:2411.14199 · 58 citations · no summary yet
  3. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models (original ↗)Jake Poznanski et al.2025 · arXiv:2502.18443 · 42 citations · no summary yet
  4. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions (original ↗)Orion Weller et al.2025 · Proceedings of the 2025 Conference of the… · 39 citations · no summary yet
  5. Paloma: A Benchmark for Evaluating Language Model Fit (original ↗)Ian Magnusson et al.2023 · arXiv:2312.10523 · 35 citations · no summary yet
  6. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature (original ↗)David Wadden et al.2025 · Proceedings of the 2025 Conference on Empirical… · 24 citations · no summary yet
  7. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters (original ↗)Li Lucy et al.2024 · Proceedings of the 62nd Annual Meeting of the… · 14 citations · no summary yet
  8. The olmOCR Project: Building Fully Open OCR using VLMs (original ↗)Jake Poznanski, Kyle Lo, Luca Soldaini2026 · Proceedings of the 64th Annual Meeting of the… · 2 citations · no summary yet

 Co-authors here

9 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 1,060 times (of the 141,840 papers whose bibliographies we read); 58 citing papers with a page here →.

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