Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
The National Bureau of Economic Research has published a new working paper by economists Ali Shourideh (Carnegie Mellon University, Tepper School of Business), Maryam Farboodi (Massachusetts Institute ...
Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...
Abstract: The problem of efficient soft-decision decoding of Reed-Solomon codes is considered. Low-complexity sequential algorithm was recently proposed for decoding of polar codes. A generalization ...
1 Department of Computer Science, University of Dschang, Dschang, Cameroon. 2 Department of General and Scientific Education, University Institute of Technology, Bandjoun, Cameroon. 3 Department of ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
I doubt the current implementation about the speculative decoding is different from the original algorithm and thus breaks the original model distribution. In the speculative decoding algorithm, the ...