Tom Hope
Tom Hope has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Information retrieval & search; often with Doug Downey, Aakanksha Naik, Alan Li.
OpenAlex · ORCID · Wikidata · h-index 19 · 114 works · 1,012 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 282 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #7517
Affiliations
Fields, topics and concepts
📚 Shelves 12The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksLanguage and Linguistics · 3 worksComputer Science · 3 worksHistory and Philosophy of Science · 1 workLiterature and Literary Theory · 1 workArtificial Intelligence · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workMedicine · 1 workDecision Sciences · 1 workStatistics, Probability and Uncertainty · 1 work
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workInformation retrieval & search · 1 workVision & language · 1 workKnowledge graphs & ontologies · 1 work
Works by year
2020s
Papers
- ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews (2024 · 32 citations)
Turning reviewer feedback into concrete manuscript revisions requires interpretation and domain reasoning, and there has been little data for studying this in technical writing. - SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature (2025 · 27 citations)
Researchers increasingly want LLMs that can work directly with scientific papers. That means following detailed instructions over long article text and returning structured, evidence-backed answers. Few training resources target this skill across multiple fields. The authors address the gap with SciRIFF, a… - LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose Models (2026 · 2 citations)
Retrieval-augmented large vision-language models (LVLMs) can help interpret clinical images. However, retrievers trained separately from the generator often supply evidence that steers the model toward a wrong diagnosis. The authors propose CLARE (Clinical LVLM-Aware Retrieval), which tunes a multimodal retriever so… - CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation (2026)
Recombination, building new ideas by merging or adapting existing ones, is a central driver of scientific innovation.
All works
- SciMON: Scientific Inspiration Machines Optimized for Novelty ↗arXiv:2305.14259 · no summary yetQingyun Wang et al.2023 · 131 citations
- MARG: Multi-Agent Review Generation for Scientific Papers ↗arXiv:2401.04259 · no summary yetMike D'Arcy et al.2024 · 76 citations
- A Search Engine for Discovery of Scientific Challenges and Directions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDan Lahav et al.2022 · 42 citations
- A Computational Inflection for Scientific Discovery ↗Communications of the ACM · no summary yetTom Hope et al.2023 · 40 citations
- What Can Natural Language Processing Do for Peer Review? ↗arXiv:2405.06563 · no summary yetIlia Kuznetsov et al.2024 · 33 citations
- ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer ReviewsAnnual Meeting of the Association for Computational Linguistics (ACL)Mike D'Arcy, Alexis Ross, Erin Bransom, et al.2024 · 32 citations
- CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ↗arXiv:2503.22708 · ACL 2025 (Findings) · no summary yetPeter Jansen et al.2025 · 31 citations
- SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
- LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose ModelsFindings of the Association for Computational LinguisticsNir Mazor, Tom Hope2026 · 2 citations
Co-authors here
- Doug Downey ×2
- Aakanksha Naik
- Alan Li
- Alexis Ross
- Bailey Kuehl
- David Wadden
- Erin Bransom
- Jacob Morrison
- Jonathan Bragg
- Kejian Shi
- Kyle Lo
- Luca Soldaini
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2024
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Communications of the ACM
- Proceedings of the AAAI Conference on Artificial Intelligence
Cited by
Updated
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