LexRubric is a rubric-based benchmark containing 649 instances and 12,337 atomic criteria for diagnostic evaluation of LLMs on open-ended Chinese legal consultation and judicial examination tasks across 14 scenarios.
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
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Hamiltonian Graph Networks achieve 150-600x faster training via random feature parameter construction while retaining comparable accuracy and physical invariances on N-body systems up to 10,000 particles.
citing papers explorer
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LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks
LexRubric is a rubric-based benchmark containing 649 instances and 12,337 atomic criteria for diagnostic evaluation of LLMs on open-ended Chinese legal consultation and judicial examination tasks across 14 scenarios.
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Rapid training of Hamiltonian graph networks using random features
Hamiltonian Graph Networks achieve 150-600x faster training via random feature parameter construction while retaining comparable accuracy and physical invariances on N-body systems up to 10,000 particles.