03/10: Added support for latest transformer versions, which support Llama 3.1, 3.2 and other latest models. Expanded support to evaluate any LLM2vec model, check mteb_eval_custom.py 04/07: Added ...
Abstract: We provide code constructions along with code properties for a few families of entanglement-assisted (EA) Calderbank-Shor-Steane (CSS) codes derived from quasi-cyclic (QC) low-density parity ...
Abstract: Rationalization empowers deep learning models with self-explaining capabilities through a cooperative game, where a generator selects a semantically consistent subset of the input as a ...
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