1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework
Zihan Guan, Rituparna Datta, Mengxuan Hu +5
Large language models (LLMs) have shown promise in constructing mechanistic models from data. However, existing evaluations largely focus on simplified settings and fail to capture…
cs.DL2025★ 1 cited
Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloys from Scientific Publications using Large Language Models
Shunshun Liu, Talon R. Booth, Yangfeng Ji +2
Large language models (LLMs) have shown promise for scientific data extraction from publications, but rely on manual prompt refinement. We present an expert-grounded automatic prom…
cond-mat.supr-con2025
Type-1.5 SNSPD: Interacting vortex theory of two bandgap superconducting single photon detectors
Leif Bauer, Daien He, Sathwik Bharadwaj +3
Photon detectors based on type-2 superconductors have found widespread applications from on-chip quantum computing to quantum remote sensing. Here, we develop the theory for a new…