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RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature
Maayan Sharon, Tom Hope
Retrieved scientific literature can serve as inspiration for both human and AI scientists. Inspiration can take different forms: prior work may directly suggest how to address a pr…
MUSE: A Full-Text Cross-Domain Knowledge Base of Scientific Problems, Solutions, and Rationales
Tsofia Cohen, Tom Hope
Scientific papers contain fine-grained records of problem solving: authors mention technical obstacles and methods that were used to address them, often along with reasoning on why…
Iterate Until Retrieved: Factual Nugget Optimization for Discoverable Continual Corrections in Agentic RAG
Moshe Hazoom, Gal Patel, Alon Talmor +1
Agentic retrieval-augmented generation (RAG) systems in business-to-business settings may often receive free-form response feedback. Rather than generic feedback signals such as st…
Anagent For Enhancing Scientific Table & Figure Analysis
Xuehang Guo, Zhiyong Lu, Tom Hope +1
In scientific research, analysis requires accurately interpreting complex multimodal knowledge, integrating evidence from different sources, and drawing inferences grounded in doma…
How do Humans and Language Models Reason About Creativity? A Comparative Analysis
Antonio Laverghetta, Tuhin Chakrabarty, Tom Hope +3
Creativity assessment in science and engineering is increasingly based on both human and AI judgment, but the cognitive processes and biases behind these evaluations remain poorly…
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning
Lior Forer, Tom Hope
We address the fundamental task of inferring cross-document coreference and hierarchy in scientific texts, which has important applications in knowledge graph construction, search,…