Saved in:
| Main Authors: | Feng, Xincan, Qu, Zhi, Cheng, Yuchang, Watanabe, Taro, Yugami, Nobuhiro |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.11809 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
by: Feng, Xincan, et al.
Published: (2024)
by: Feng, Xincan, et al.
Published: (2024)
Model-based Subsampling for Knowledge Graph Completion
by: Feng, Xincan, et al.
Published: (2023)
by: Feng, Xincan, et al.
Published: (2023)
When Does Embedding Magnitude Matter? A Cross-Task Functional-Symmetry Framework
by: Feng, Xincan, et al.
Published: (2026)
by: Feng, Xincan, et al.
Published: (2026)
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023)
by: Sakai, Yusuke, et al.
Published: (2023)
Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding
by: Li, Linyu, et al.
Published: (2025)
by: Li, Linyu, et al.
Published: (2025)
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
by: Cai, Borui, et al.
Published: (2023)
by: Cai, Borui, et al.
Published: (2023)
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
by: Liu, Yichen, et al.
Published: (2022)
by: Liu, Yichen, et al.
Published: (2022)
Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)
by: Zellinger, Lena, et al.
Published: (2024)
CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations
by: Rosenberger, Julian, et al.
Published: (2025)
by: Rosenberger, Julian, et al.
Published: (2025)
Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
by: Kamigaito, Hidetaka, et al.
Published: (2025)
by: Kamigaito, Hidetaka, et al.
Published: (2025)
Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)
by: Yao, Siyu, et al.
Published: (2019)
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
by: Wang, Jingcun, et al.
Published: (2024)
by: Wang, Jingcun, et al.
Published: (2024)
Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters
by: Guo, Zhiyu, et al.
Published: (2024)
by: Guo, Zhiyu, et al.
Published: (2024)
Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
by: Hashimoto, Wataru, et al.
Published: (2025)
by: Hashimoto, Wataru, et al.
Published: (2025)
Enhancing Latent Computation in Transformers with Latent Tokens
by: Sun, Yuchang, et al.
Published: (2025)
by: Sun, Yuchang, et al.
Published: (2025)
Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)
by: Wang, Ruijie, et al.
Published: (2019)
Knowledge Graph Embeddings with Representing Relations as Annular Sectors
by: Zhu, Huiling, et al.
Published: (2025)
by: Zhu, Huiling, et al.
Published: (2025)
Shared Global and Local Geometry of Language Model Embeddings
by: Lee, Andrew, et al.
Published: (2025)
by: Lee, Andrew, et al.
Published: (2025)
Rethinking Regularization Methods for Knowledge Graph Completion
by: Li, Linyu, et al.
Published: (2025)
by: Li, Linyu, et al.
Published: (2025)
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)
by: Sawczyn, Albert, et al.
Published: (2024)
Understanding the Embedding Models on Hyper-relational Knowledge Graph
by: Wang, Yubo, et al.
Published: (2025)
by: Wang, Yubo, et al.
Published: (2025)
Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction
by: Gul, Haji, et al.
Published: (2025)
by: Gul, Haji, et al.
Published: (2025)
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
by: Hashimoto, Wataru, et al.
Published: (2024)
by: Hashimoto, Wataru, et al.
Published: (2024)
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)
by: Hashimoto, Wataru, et al.
Published: (2024)
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans
by: Sakai, Yusuke, et al.
Published: (2024)
by: Sakai, Yusuke, et al.
Published: (2024)
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
by: Anik, Md Saidul Hoque, et al.
Published: (2025)
by: Anik, Md Saidul Hoque, et al.
Published: (2025)
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
by: Takamoto, Makoto, et al.
Published: (2025)
by: Takamoto, Makoto, et al.
Published: (2025)
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
by: Bae, Sangmin, et al.
Published: (2024)
by: Bae, Sangmin, et al.
Published: (2024)
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)
by: Du, Junliang, et al.
Published: (2024)
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs
by: Liu, Ben, et al.
Published: (2025)
by: Liu, Ben, et al.
Published: (2025)
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
by: Cha, Sungmin, et al.
Published: (2024)
by: Cha, Sungmin, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning of State Space Models
by: Galim, Kevin, et al.
Published: (2024)
by: Galim, Kevin, et al.
Published: (2024)
Geometric Organization of Cognitive States in Transformer Embedding Spaces
by: Zhao, Sophie
Published: (2025)
by: Zhao, Sophie
Published: (2025)
KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
by: Luo, Xindi, et al.
Published: (2024)
by: Luo, Xindi, et al.
Published: (2024)
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation
by: Heo, DongNyeong, et al.
Published: (2023)
by: Heo, DongNyeong, et al.
Published: (2023)
GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification
by: Khamis, Ahmed Khaled
Published: (2026)
by: Khamis, Ahmed Khaled
Published: (2026)
Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)
by: Sakajo, Haruki, et al.
Published: (2026)
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
by: Zhao, Qianyi, et al.
Published: (2024)
by: Zhao, Qianyi, et al.
Published: (2024)
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
by: Ban, Hao, et al.
Published: (2025)
by: Ban, Hao, et al.
Published: (2025)
Similar Items
-
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
by: Feng, Xincan, et al.
Published: (2024) -
Model-based Subsampling for Knowledge Graph Completion
by: Feng, Xincan, et al.
Published: (2023) -
When Does Embedding Magnitude Matter? A Cross-Task Functional-Symmetry Framework
by: Feng, Xincan, et al.
Published: (2026) -
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023) -
Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding
by: Li, Linyu, et al.
Published: (2025)