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Kyle Lo

Allen Institute for Artificial Intelligence, Seattle, Washington, USA

23 papers at tracked venues · 16 at CORE A* · active 2024–2026

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Venues

ACL ×6EMNLP ×5NeurIPS ×4ICLR ×2NAACL ×2AAAI ×1CHI ×1CVPR ×1ICML ×1

Frequent coauthors

Jake Poznanski
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Sami Baral
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Weijia Shi
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Orion Weller
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Sherry Wu
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Vishakh Padmakumar
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Matt Deitke
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Niklas Muennighoff
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Alexander Wettig
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Hyunji Lee
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David Wadden
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David Heineman
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Papers

  1. The olmOCR Project: Building Fully Open OCR using VLMs
    ACL 2026 ·
    Jake Poznanski
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  2. DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images
    NAACL 2025 ·
    Sami Baral
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  3. FlexOLMo: Open Language Models for Flexible Data Use
    NeurIPS 2025 ·
    Weijia Shi
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  4. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
    NAACL 2025 ·
    Orion Weller
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  5. Human-AI Collaboration: How AIs Augment Human Teammates
    ACL 2025 ·
    Sherry Wu
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  6. Intent-aware Schema Generation and Refinement for Literature Review Tables
    EMNLP 2025 ·
    Vishakh Padmakumar
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  7. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
    CVPR 2025 ·
    Matt Deitke
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  8. OLMoE: Open Mixture-of-Experts Language Models
    ICLR 2025 ·
    Niklas Muennighoff
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  9. Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
    ICML 2025 ·
    Alexander Wettig
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  10. RouterRetriever: Routing over a Mixture of Expert Embedding Models
    AAAI 2025 ·
    Hyunji Lee
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  11. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
    EMNLP 2025 ·
    David Wadden
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  12. Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
    NeurIPS 2025 ·
    David Heineman
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  13. ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models
    EMNLP 2024 ·
    Benjamin Newman
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  14. BooookScore: A systematic exploration of book-length summarization in the era of LLMs
    ICLR 2024 ·
    Yapei Chang
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  15. DataComp-LM: In search of the next generation of training sets for language models
    NeurIPS 2024 ·
    Jeffrey Li
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  16. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
    ACL 2024 ·
    Luca Soldaini
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  17. InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
    ACL 2024 ·
    Jan Trienes
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  18. KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
    ACL 2024 ·
    Fangyuan Xu
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  19. Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience
    CHI 2024 ·
    Tal August
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  20. MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula
    EMNLP 2024 ·
    Li Lucy
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  21. OLMo: Accelerating the Science of Language Models
    ACL 2024 ·
    Dirk Groeneveld
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  22. One Thousand and One Pairs: A "novel" challenge for long-context language models
    EMNLP 2024 ·
    Marzena Karpinska
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  23. Paloma: A Benchmark for Evaluating Language Model Fit
    NeurIPS 2024 ·
    Ian Magnusson
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