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Found 4 papers, 2 papers with code
Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
To overcome these limitations, this paper introduce a new reasoning strategy Solution Guidance (SG) and a plug-and-play training paradigm Solution-Guidance Fine-Tuning (SGFT) for enhancing the reasoning capabilities of small language models.
LatentSync: Audio Conditioned Latent Diffusion Models for Lip Sync
Since we did not change the overall training framework of SyncNet, our experience can also be applied to other lip sync and audio-driven portrait animation methods that utilize SyncNet.
LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models
LinBridge posits that the nonlinear mapping between ANN representations and neural responses can be factorized into a linear inherent component that approximates the complex nonlinear relationship, and a mapping bias that captures sample-selective nonlinearity.
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
LOCAL is the first attempt to formulate a quasi-maximum likelihood-based score function for learning the dynamic DAG equivalent to the ground truth.
