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.
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
Affiliations
Concepts, shelves and topics
📚 Shelves 8 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work Psychology · 1 work Experimental and Cognitive Psychology · 1 work Social Psychology · 1 work
🧭 Topics 2 Language models & pretraining · 1 work Vision & language · 1 work
Works by year
2020s
2010s
Papers
- 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… - 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
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.IEEE Computer Society Conference on Computer… · 184 citations
- SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health ConditionsArman Cohan, Bart Desmet, Andrew Yates, et al.International Conference on Computational… · 89 citations
- What's In My Big Data? (original ↗)Yanai Elazar et al.2023 · arXiv:2310.20707 · 85 citations · no summary yet
- OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs (original ↗)Akari Asai et al.2024 · arXiv:2411.14199 · 58 citations · no summary yet
- 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
- 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
- Paloma: A Benchmark for Evaluating Language Model Fit (original ↗)Ian Magnusson et al.2023 · arXiv:2312.10523 · 35 citations · no summary yet
- 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
- 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
- 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
- Andrew Yates
- Arman Cohan
- Christopher Clark
- Jiasen Lu
- Kyle Lo
- Mohammadreza Salehi
- Nazli Goharian
- Niklas Muennighoff
- Yue Yang
Venues
- Proceedings of the 62nd Annual Meeting of the Association… ×2
- International Conference on Computational Linguistics…: 2018
- IEEE Computer Society Conference on Computer Vision and…: 2024
- Conference on Neural Information Processing Systems…
- Proceedings of the 2025 Conference of the Nations of the…
- Proceedings of the 2025 Conference on Empirical Methods in…
Cited by
Updated
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