1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IR2026★ 2 cited
LitXBench: A Benchmark for Extracting Experiments from Scientific Literature
Curtis Chong, Jorge Colindres
Aggregating experimental data from papers enables materials scientists to build better property prediction models and to facilitate scientific discovery. Recently, interest has gro…
cs.LG2026★ 1 cited
MATRIX: A Multimodal Benchmark and Post-Training Framework for Materials Science
Delia McGrath, Curtis Chong, Rohil Kulkarni +2
Scientific reasoning in materials science requires integrating multimodal experimental evidence with underlying physical theory. Existing benchmarks make it difficult to assess whe…