Elamur Research⌕
☰
home / authors / Tom Hope

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.

4 papers in our library · 2024–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…
  3. 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…
  4. 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

10 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. SciMON: Scientific Inspiration Machines Optimized for Novelty ↗arXiv:2305.14259 · no summary yetQingyun Wang et al.2023 · 131 citations
  2. MARG: Multi-Agent Review Generation for Scientific Papers ↗arXiv:2401.04259 · no summary yetMike D'Arcy et al.2024 · 76 citations
  3. 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
  4. A Computational Inflection for Scientific Discovery ↗Communications of the ACM · no summary yetTom Hope et al.2023 · 40 citations
  5. What Can Natural Language Processing Do for Peer Review? ↗arXiv:2405.06563 · no summary yetIlia Kuznetsov et al.2024 · 33 citations
  6. 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

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 282 times (of the 149,439 papers whose bibliographies we read); 52 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/tom-hope/