Image de couverture de livre

Word Sense Detection Leveraging Maximum Mean Discrepancy

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Mitsuzawa, Kensuke
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MMD-Flagger: Leveraging Maximum Mean Discrepancy to Detect Hallucinations
par: Mitsuzawa, Kensuke, et autres
Publié: (2025)

Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison
par: Mitsuzawa, Kensuke, et autres
Publié: (2023)

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
par: Zhang, Shuhai, et autres
Publié: (2024)

ContrastWSD: Enhancing Metaphor Detection with Word Sense Disambiguation Following the Metaphor Identification Procedure
par: Elzohbi, Mohamad, et autres
Publié: (2023)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
par: Feng, Kehua, et autres
Publié: (2024)

Word Sense Disambiguation in Persian: Can AI Finally Get It Right?
par: Ayyoubzadeh, Seyed Moein, et autres
Publié: (2024)

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
par: Mou, Guanyi, et autres
Publié: (2024)

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning
par: Paul, Bidyarthi, et autres
Publié: (2025)

On the Optimization Landscape of Maximum Mean Discrepancy
par: Alon, Itai, et autres
Publié: (2021)

A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
par: Chen, Yindong, et autres
Publié: (2021)

Leveraging Language Models to Detect Greenwashing
par: Vinella, Avalon, et autres
Publié: (2023)

Resolving Discrepancies in Compute-Optimal Scaling of Language Models
par: Porian, Tomer, et autres
Publié: (2024)

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
par: Zhang, Hansong, et autres
Publié: (2023)

CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding
par: Samanta, Riya, et autres
Publié: (2024)

Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification
par: Wu, Yuan
Publié: (2024)

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
par: Riaz, Haris, et autres
Publié: (2025)

Variable Selection for Comparing High-dimensional Time-Series Data
par: Mitsuzawa, Kensuke, et autres
Publié: (2024)

Leveraging Big Data Frameworks for Spam Detection in Amazon Reviews
par: Khatun, Mst Eshita, et autres
Publié: (2025)

Leveraging Graph Structures to Detect Hallucinations in Large Language Models
par: Nonkes, Noa, et autres
Publié: (2024)

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
par: Jelenić, Fran, et autres
Publié: (2023)

Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy
par: Taghanaki, Saeid Asgari, et autres
Publié: (2025)

Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture
par: Pugh, Samuel L, et autres
Publié: (2026)

(De)-regularized Maximum Mean Discrepancy Gradient Flow
par: Chen, Zonghao, et autres
Publié: (2024)

Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification
par: Islam, Shayekh Bin, et autres
Publié: (2024)

Llamazip: Leveraging LLaMA for Lossless Text Compression and Training Dataset Detection
par: Dréano, Sören, et autres
Publié: (2025)

Maximum Score Routing For Mixture-of-Experts
par: Dong, Bowen, et autres
Publié: (2025)

Failure Modes of Maximum Entropy RLHF
par: Çağatan, Ömer Veysel, et autres
Publié: (2025)

Convolutional Maximum Mean Discrepancy for Inference in Noisy Data
par: Vashistha, Ritwik, et autres
Publié: (2026)

Leveraging Large Language Models for Cost-Effective, Multilingual Depression Detection and Severity Assessment
par: Xian, Longdi, et autres
Publié: (2025)

Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
par: Dukić, David, et autres
Publié: (2023)

Graph Neural Networks on Discriminative Graphs of Words
par: Abbahaddou, Yassine, et autres
Publié: (2024)

Mitigating Gender Bias in Contextual Word Embeddings
par: Yarrabelly, Navya, et autres
Publié: (2024)

MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
par: Borra, Federico, et autres
Publié: (2024)

Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
par: Kalinke, Florian, et autres
Publié: (2022)

Next Word Suggestion using Graph Neural Network
par: Magar, Abisha Thapa, et autres
Publié: (2025)

Pruning Literals for Highly Efficient Explainability at Word Level
par: Yadav, Rohan Kumar, et autres
Publié: (2024)

Interpretable Syntactic Representations Enable Hierarchical Word Vectors
par: Silwal, Biraj
Publié: (2024)

Continuously Learning New Words in Automatic Speech Recognition
par: Huber, Christian, et autres
Publié: (2024)

Improving Rare Word Translation With Dictionaries and Attention Masking
par: Sible, Kenneth J., et autres
Publié: (2024)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
par: Xu, Kan, et autres
Publié: (2021)