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Found 18 papers, 3 papers with code
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription
This consequently limits the performance of downstream tasks, such as image-to-multiview generation and 3D reconstruction.
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
Extensive experiments on real-world medical data demonstrate the effectiveness of FedPIT in improving federated few-shot performance while preserving privacy and robustness against data heterogeneity.
Multiperson Detection and Vital-Sign Sensing Empowered by Space-Time-Coding RISs
Passive human sensing using wireless signals has attracted increasing attention due to its superiorities of non-contact and robustness in various lighting conditions.
Hyper-Relational Knowledge Graph Neural Network for Next POI
In addition, prior works overlook the rich structural information inherent in KG, which consists of higher-order relations and can further alleviate the impact of data sparsity. To this end, we propose a Hyper-Relational Knowledge Graph Neural Network (HKGNN) model.
Evil Geniuses: Delving into the Safety of LLM-based Agents
Rapid advancements in large language models (LLMs) have revitalized in LLM-based agents, exhibiting impressive human-like behaviors and cooperative capabilities in various scenarios.
Passive Human Sensing Enhanced by Reconfigurable Intelligent Surface: Opportunities and Challenges
Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels.
PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
Firstly, the layout of existing datasets is relatively fixed and limited in the number of semantic entity categories, creating a significant gap between these datasets and the complex real-world scenarios.
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
In addition, we propose RexUIE, which is a Recursive Method with Explicit Schema Instructor for UIE.
Closed-Loop Transcription via Convolutional Sparse Coding
Our method is arguably the first to demonstrate that a concatenation of multiple convolution sparse coding/decoding layers leads to an interpretable and effective autoencoder for modeling the distribution of large-scale natural image datasets.
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
Implicit Event Argument Extraction seeks to identify arguments that play direct or implicit roles in a given event.
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
Serverless computing is increasingly being used for parallel computing, which have traditionally been implemented as stateful applications.
Distributed, Parallel, and Cluster Computing
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts
Compared to the state-of-the-art methods, the learned network structures help improving the identification of concepts for entities based on the relations of entities on both datasets.
In Search of a Fast and Efficient Serverless DAG Engine
The auto-scaling property of serverless computing platforms accommodates short tasks and bursty workloads, while the pay-per-use billing model of serverless computing providers keeps the cost of short tasks low.
Distributed, Parallel, and Cluster Computing
Evaluating the Utility of Document Embedding Vector Difference for Relation Learning
Recent work has demonstrated that vector offsets obtained by subtracting pretrained word embedding vectors can be used to predict lexical relations with surprising accuracy.
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
Leveraging domain knowledge is an effective strategy for enhancing the quality of inferred low-dimensional representations of documents by topic models.
A Hybrid ACO Algorithm for the Next Release Problem
In this paper, we propose a Hybrid Ant Colony Optimization algorithm (HACO) for Next Release Problem (NRP).
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion
In this paper, we address the problem of extracting compatible and incompatible products from yes/no questions in PCQA.
Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification
In this paper, we study the problem of discriminative subgraph selection using multiple side views and propose a novel solution to find an optimal set of subgraph features for graph classification by exploring a plurality of side views.
