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Found 4 papers, 2 papers with code
MM-LLMs: Recent Advances in MultiModal Large Language Models
In the past year, MultiModal Large Language Models (MM-LLMs) have undergone substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs via cost-effective training strategies.
Multi-Task Audio Source Separation
In detail, the proposed model follows a two-stage pipeline, which separates the three types of audio signals and then performs signal compensation separately.
Ranked #1 on
Multi-task Audio Source Seperation
on MTASS
Audio Source Separation
Multi-task Audio Source Seperation
+3
Single-channel Speech Dereverberation via Generative Adversarial Training
In this paper, we propose a single-channel speech dereverberation system (DeReGAT) based on convolutional, bidirectional long short-term memory and deep feed-forward neural network (CBLDNN) with generative adversarial training (GAT).
Scaling Nakamoto Consensus to Thousands of Transactions per Second
The Conflux consensus protocol represents relationships between blocks as a direct acyclic graph and achieves consensus on a total order of the blocks.
Distributed, Parallel, and Cluster Computing
