22 citations · 107 across the 37 of their papers we have counts for
4 papers · 1 filter
Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science
Sutanay Choudhury, Jeffrey J. Czajka, Lummy M. O. Monteiro +15
Most AI-for-science systems focus on scaling a single reasoning process by using better models, larger context windows, long-horizon agentic execution, or digital co-scientists wor…
Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events
Stefan Dernbach, Alejandro Michel, Khushbu Agarwal +3
This paper introduces lateral thinking to implement System-2 reasoning capabilities in AI systems, focusing on anticipatory and causal reasoning under uncertainty. We present a fra…
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding
Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga +2
Integrating large language models (LLMs) with knowledge graphs derived from domain-specific data represents an important advancement towards more powerful and factual reasoning. As…
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
Henry W. Sprueill, Carl Edwards, Mariefel V. Olarte +3
Discovering novel catalysts requires complex reasoning involving multiple chemical properties and resultant trade-offs, leading to a combinatorial growth in the search space. While…