Luca Soldaini
- Papers
- 26
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Authored papers
26How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs
arXiv 2026
olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
arXiv 2025
Olmo 3
arXiv 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
arXiv 2025
The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text
arXiv 2025
Teaching Models to Understand (but not Generate) High-risk Data
arXiv 2025
Bolmo: Byteifying the Next Generation of Language Models
arXiv 2025
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
arXiv 2025
FlexOlmo: Open Language Models for Flexible Data Use
arXiv 2025
2 OLMo 2 Furious
arXiv 2024
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
preprint
OLMo: Accelerating the Science of Language Models
arXiv 2024
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025 1
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
arXiv 2024
OLMoE: Open Mixture-of-Experts Language Models
arXiv 2024
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
arXiv 2024
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
arXiv 2024
RouterRetriever: Routing over a Mixture of Expert Embedding Models
arXiv 2024
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
arXiv 2024
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
arXiv 2024
Language models scale reliably with over-training and on downstream tasks
arXiv 2024
What's In My Big Data?
arXiv 2023
The Semantic Scholar Open Data Platform
arXiv 2023
Paragraph-based Transformer Pre-training for Multi-Sentence Inference
NAACL 2022 7
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
arXiv 2022
The Cascade Transformer: an Application for Efficient Answer Sentence Selection
the-cascade-transformer-an-application-for-1
Affiliations
Frequent co-authors
10from 26 papers
Kyle Lo
Hannaneh Hajishirzi
professor
Noah A. Smith
Dirk Groeneveld
Jacob Morrison
research-engineer
Luke Zettlemoyer
professor
Pang Wei Koh
Pete Walsh
Akshita Bhagia
Dustin Schwenk