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Found 9 papers, 3 papers with code
Multimodal Graph Constrastive Learning and Prompt for ChartQA
ChartQA presents significant challenges due to the complex distribution of chart elements and the implicit patterns embedded within the underlying data.
ChuLo: Chunk-Level Key Information Representation for Long Document Processing
We evaluate our method on multiple long document classification tasks and long document token classification tasks, demonstrating its effectiveness through comprehensive qualitative and quantitative analyses.
Ranked #1 on
Named Entity Recognition
on GUM
MSG-Chart: Multimodal Scene Graph for ChartQA
Automatic Chart Question Answering (ChartQA) is challenging due to the complex distribution of chart elements with patterns of the underlying data not explicitly displayed in charts.
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
Therefore, there lacks a generic and smart layer freezing method that can automatically perform ``in-situation'' layer freezing for different networks during training processes.
etuner: A Redundancy-Aware Framework for Efficient Continual Learning Application on Edge Devices
Many emerging applications, such as robot-assisted eldercare and object recognition, generally employ deep learning neural networks (DNNs) and require the deployment of DNN models on edge devices.
Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process
The problem of state estimations for electric distribution system is considered.
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
The growing interest in developing corpora of persuasive texts has promoted applications in automated systems, e. g., debating and essay scoring systems; however, there is little prior work mining image persuasiveness from an argumentative perspective.
An Analysis of Deep Reinforcement Learning Agents for Text-based Games
Text-based games(TBG) are complex environments which allow users or computer agents to make textual interactions and achieve game goals. In TBG agent design and training process, balancing the efficiency and performance of the agent models is a major challenge.
Detecting and estimating coherence based on coherence witnesses
Our coherence witnesses detect coherent states by testing whether the expectation value of the witness is negative or not.
Quantum Physics
