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LiftingWeakSupervisionToStructuredPrediction

Neural Information Processing Systems

For labels taking values in a finite metric space, we introduce techniques new to weak supervision based on pseudo-Euclidean embeddings andtensor decompositions, providing anearly-consistent noise rate estimator.


LiftingWeakSupervisionToStructuredPrediction

Neural Information Processing Systems

For labels taking values in a finite metric space, we introduce techniques new to weak supervision based on pseudo-Euclidean embeddings andtensor decompositions, providing anearly-consistent noise rate estimator.


Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization

Neural Information Processing Systems

Aiming to address this limitation, we present Easy2Hard-Bench, a consistently formatted collection of 6 benchmark datasets spanning various domains, such as mathematics and programming problems, chess puzzles, and reasoning questions.