Cover Image

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Xincan, Kamigaito, Hidetaka, Hayashi, Katsuhiko, Watanabe, Taro
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model-based Subsampling for Knowledge Graph Completion
by: Feng, Xincan, et al.
Published: (2023)

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023)

From Formal Language Theory to Statistical Learning: Finite Observability of Subregular Languages
by: Hayashi, Katsuhiko, et al.
Published: (2025)

Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
by: Feng, Xincan, 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)

Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
by: Kamigaito, Hidetaka, et al.
Published: (2025)

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
by: Hashimoto, Wataru, 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)

Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
by: Hashimoto, Wataru, et al.
Published: (2025)

Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)

Multi-label Learning with Random Circular Vectors
by: Nishida, Ken, et al.
Published: (2024)

Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
by: Sakai, Yusuke, et al.
Published: (2024)

Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)

Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
by: Kamigaito, Hidetaka, et al.
Published: (2024)

Identifying Influential N-grams in Confidence Calibration via Regression Analysis
by: Ozaki, Shintaro, et al.
Published: (2026)

Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
by: Guo, Zhiyu, et al.
Published: (2024)

Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models
by: Ozaki, Shintaro, et al.
Published: (2024)

Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences
by: Atuhurra, Jesse, et al.
Published: (2024)

When Does Embedding Magnitude Matter? A Cross-Task Functional-Symmetry Framework
by: Feng, Xincan, et al.
Published: (2026)

Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
by: Sakai, Yusuke, et al.
Published: (2024)

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
by: Natsumi, Koki, et al.
Published: (2025)

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation
by: Hayashi, Kazuki, et al.
Published: (2025)

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies
by: Hayashi, Kazuki, et al.
Published: (2025)

Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?
by: Gobara, Seiji, et al.
Published: (2024)

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
by: Takamoto, Makoto, et al.
Published: (2025)

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
by: Sakai, Yusuke, et al.
Published: (2025)

Towards Artwork Explanation in Large-scale Vision Language Models
by: Hayashi, Kazuki, et al.
Published: (2024)

Context-Aware Machine Translation with Source Coreference Explanation
by: Vu, Huy Hien, et al.
Published: (2024)

HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
by: Sakai, Yusuke, et al.
Published: (2026)

HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists
by: Sakai, Yusuke, et al.
Published: (2026)

On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions
by: Liu, Dezhi, et al.
Published: (2020)

TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation
by: Ozaki, Shintaro, et al.
Published: (2025)

Generating Diverse Translation with Perturbed kNN-MT
by: Nishida, Yuto, et al.
Published: (2024)

Introducing Syllable Tokenization for Low-resource Languages: A Case Study with Swahili
by: Atuhurra, Jesse, et al.
Published: (2024)

Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
by: Cao, Zhe, et al.
Published: (2024)

Domain Adaptation in Intent Classification Systems: A Review
by: Atuhurra, Jesse, et al.
Published: (2024)

mbrs: A Library for Minimum Bayes Risk Decoding
by: Deguchi, Hiroyuki, et al.
Published: (2024)

BQA: Body Language Question Answering Dataset for Video Large Language Models
by: Ozaki, Shintaro, et al.
Published: (2024)

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
by: Ozaki, Shintaro, et al.
Published: (2024)

Tonguescape: Exploring Language Models Understanding of Vowel Articulation
by: Sakajo, Haruki, et al.
Published: (2025)