---
title: "Kyle Lo — all works — Elamur Research"
description: "All 35 works of Kyle Lo in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/kyle-lo/works/"
---
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# Kyle Lo — all works

35 works · [← Kyle Lo](https://md.research.elamur.ai/free/en/authors/kyle-lo/)

1. **[SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Iz Beltagy, Kyle Lo, Arman Cohan*2019 · 3,582 citations*
2. **[Don't Stop Pretraining: Adapt Language Models to Domains and Tasks ↗](https://aclanthology.org/2020.acl-main.740/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Suchin Gururangan et al.*2020 · 3,079 citations*
3. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations*
4. **[Fact or Fiction: Verifying Scientific Claims](https://md.research.elamur.ai/free/en/papers/wadden-2020-fact-or-fiction-verifying-scientific/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Shanchuan Lin, Kyle Lo, et al.*2020 · 709 citations*
5. **[CORD-19: The COVID-19 Open Research Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-cord-19-covid-19-open/) [Workshop on NLP for COVID-19 at ACL](https://md.research.elamur.ai/free/en/venues/nlpcovid19/)**Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.*2020 · 695 citations*
6. **[OLMo: Accelerating the Science of Language Models ↗](https://aclanthology.org/2024.acl-long.841/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dirk Groeneveld et al.*2024 · 429 citations*
7. **[A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 384 citations*
8. **[Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗](https://aclanthology.org/2024.acl-long.840/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Luca Soldaini et al.*2024 · 341 citations*
9. [**S2ORC: The Semantic Scholar Open Research Corpus arXiv:1911.02782**Kyle Lo, Lucy Lu Wang, Mark Neumann, et al.*2019 · 312 citations*](https://md.research.elamur.ai/free/en/papers/lo-2019-s2orc-semantic-scholar-open-research/)
10. **[2 OLMo 2 Furious ↗](https://arxiv.org/abs/2501.00656) arXiv:2501.00656 · no summary yet**Team OLMo et al.*2025 · 262 citations*
11. **[TLDR: Extreme Summarization of Scientific Documents](https://md.research.elamur.ai/free/en/papers/cachola-2020-tldr-extreme-summarization-scientific-documents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Isabel Cachola, Kyle Lo, Arman Cohan, et al.*2020 · 262 citations*
12. **[Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Matt Deitke, Christopher Clark, Sangho Lee, et al.*2024 · 216 citations*
13. [**Olmo 3 arXiv:2512.13961**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 130 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
14. **[The Semantic Scholar Open Data Platform ↗](https://arxiv.org/abs/2301.10140) arXiv (Cornell University) · no summary yet**Rodney Kinney et al.*2023 · 126 citations*
15. **[LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 114 citations*
16. **[BooookScore: A systematic exploration of book-length summarization in the era of LLMs ↗](https://arxiv.org/abs/2310.00785) arXiv:2310.00785 · no summary yet**Yapei Chang et al.*2023 · 108 citations*
17. **[MultiVerS: Improving scientific claim verification with weak supervision and full-document context ↗](https://aclanthology.org/2022.findings-naacl.6/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**David Wadden et al.*2022 · 98 citations*
18. **[SciFact-Open: Towards open-domain scientific claim verification](https://md.research.elamur.ai/free/en/papers/wadden-2022-scifact-open-open-domain-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**David Wadden, Kyle Lo, Bailey Kuehl, et al.*2022 · 94 citations*
19. **[OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs ↗](https://arxiv.org/abs/2411.14199) arXiv:2411.14199 · no summary yet**Akari Asai et al.*2024 · 62 citations*
20. [**olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models arXiv:2502.18443**Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.*2025 · 44 citations*](https://md.research.elamur.ai/free/en/papers/poznanski-2025-olmocr-unlocking-trillions-tokens-pdfs/)
21. **[Synthesizing scientific literature with retrieval-augmented language models ↗](https://doi.org/10.1038/s41586-025-10072-4) Nature · no summary yet**Akari Asai et al.*2026 · 42 citations*
22. **[Paloma: A Benchmark for Evaluating Language Model Fit](https://md.research.elamur.ai/free/en/papers/magnusson-2023-paloma-benchmark-evaluating-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.*2023 · 42 citations*
23. **[FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions](https://md.research.elamur.ai/free/en/papers/weller-2025-followir-evaluating-teaching-information-retrieval/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Orion Weller, Benjamin Chang, Sean MacAvaney, et al.*2025 · 40 citations*
24. **[Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ↗](https://arxiv.org/abs/2502.10341) ICML 2025 · no summary yet**Alexander Wettig et al.*2025 · 28 citations*
25. **[SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature](https://md.research.elamur.ai/free/en/papers/wadden-2025-sciriff-resource-enhance-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Kejian Shi, Jacob Morrison, et al.*2025 · 27 citations*
26. **[InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification ↗](https://aclanthology.org/2024.acl-long.234/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jan Trienes et al.*2024 · 18 citations*
27. **[Decomposing Complex Queries for Tip-of-the-tongue Retrieval ↗](https://aclanthology.org/2023.findings-emnlp.367/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Kevin Lin et al.*2023 · 18 citations*
28. **[KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions ↗](https://aclanthology.org/2024.findings-acl.770/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Fangyuan Xu et al.*2024 · 17 citations*
29. **[The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗](https://arxiv.org/abs/2406.16746) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2024 · 11 citations*
30. **[Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries ↗](https://aclanthology.org/2025.tacl-1.41/) Transactions of the Association for Computational Linguistics · no summary yet**Chaitanya Malaviya et al.*2025 · 8 citations*
31. **[Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents ↗](https://aclanthology.org/2023.findings-acl.844/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Catherine Chen et al.*2023 · 7 citations*
32. **[FlexOLMo: Open Language Models for Flexible Data Use ↗](https://doi.org/10.52202/085713-5530) neural information processing systems · no summary yet**Weijia Shi et al.*2025 · 5 citations*
33. **[The olmOCR Project: Building Fully Open OCR using VLMs](https://md.research.elamur.ai/free/en/papers/poznanski-2026-olmocr-project-building-fully-open/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jake Poznanski, Kyle Lo, Luca Soldaini*2026 · 2 citations*
34. **[The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors](https://md.research.elamur.ai/free/en/papers/lucy-2026-aftermath-drawedumath-vision-language-models/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Li Lucy, Albert Zhang, Nathan Anderson, et al.*2026*
35. **[Human-AI Collaboration: How AIs Augment Human Teammates ↗](https://aclanthology.org/2025.acl-tutorials.4/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) · no summary yet**Sherry Wu et al.*2025*