Legal argument mining supports passage classification, retrieval, and argument completion. This work introduces an expert-annotated dataset of 42 U.S. federal tax opinions on corporate reorganizations under I.R.C. {\S}368. To our knowledge, it is the first expert-annotated, tree-structured argument corpus for this doma...
Luis Brena, William Jurayj, Gregory Deyesu et al.· 0 citations
CLUE (Calibrated Latent Uncertainty Estimation), which combines self-consistent teacher calibration and distribution-based confidence probing to produce calibrated predictions, is introduced, which achieves equivalent or stronger performance than zero-shot baselines up to 32B parameters across all modalities.
Dengjia Zhang, Alexander Martin, William Jurayj et al.· arXiv.org· 4 citations
This work presents AutoMat, a benchmark for evaluating LLM-based agents'ability to reproduce claims from computational materials science, and curates a set of claims from real materials science papers to test whether coding agents can recover and execute the end-to-end workflow needed to support (or undermine) such cla...
Ziyang Huang, Yiyun Cao, A. Shargh et al.· arXiv.org· 9 citations
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