Tom Hope

@Hoper_Tom

Assistant professor and research scientist at AI2 | boosting scientific discovery with AI, NLP, IR, KG, HCI

linkedin.com/in/tom-hope-14…

Joined April 2011

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Tom Hope
@Hoper_Tom
Feb 20, 2024
Scimon🧪: Scientific Inspiration Machines Optimized for Novelty. LLMs + inspiration retrieval from papers + 🚀iterative novelty boosting🚀: 1. LLM (e.g. GPT4) generates idea 2. Compares to detected prior work 3. Refines idea novelty 4. Repeat until sufficient novelty reached
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Tom Hope
@Hoper_Tom
Sep 3
Enjoyed being interviewed by @JeffreyBrainard @ScienceMagazine on AI for scientific novelty assessment—a problem that is still unsolved by SOTA LLMs in my experience. Stay tuned for more on this!
Can AI help solve the peer-review crisis? Here are its promises and pitfalls
From science.org
Tom Hope
@Hoper_Tom
Sep 2
New paper: We’re building retrieval models for AI scientists (and human ones, too)—retrieval trained to directly support inspiration💡: 🫠Problem-solution latent links, ⏫Zooming out (abstraction), ⏬Zooming in (specification). Cognitive theories of ideation suggests these are
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Tom Hope
@Hoper_Tom
Aug 23
Happy to share three papers accepted to #EMNLP2026 with students and colleagues: - A new self-improving agentic memory method for agentic RAG applications - A system for exploring the evolution of scientific concepts by analyzing Wikipedia page revisions - A benchmark and
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Tom Hope
@Hoper_Tom
Aug 12
We're building a knowledge base for AI scientists (and humans, too) to discover fine-grained technical research problems, solutions and their *rationales* , extracted from full-text papers across all domains on arXiv. We introduce MUSE, containing 36,960
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