Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Dohi, Kota, Ito, Aoi, Purohit, Harsh, Nishida, Tomoya, Endo, Takashi, Kawaguchi, Yohei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DiffNator: Generating Structured Explanations of Time-Series Differences
por: Dohi, Kota, et al.
Publicado: (2025)
por: Dohi, Kota, et al.
Publicado: (2025)
Retrieving Time-Series Differences Using Natural Language Queries
por: Dohi, Kota, et al.
Publicado: (2025)
por: Dohi, Kota, et al.
Publicado: (2025)
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision
por: Ito, Aoi, et al.
Publicado: (2024)
por: Ito, Aoi, et al.
Publicado: (2024)
MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection
por: Purohit, Harsh, et al.
Publicado: (2025)
por: Purohit, Harsh, et al.
Publicado: (2025)
LaSTR: Language-Driven Time-Series Segment Retrieval
por: Dohi, Kota, et al.
Publicado: (2026)
por: Dohi, Kota, et al.
Publicado: (2026)
MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System
por: Purohit, Harsh, et al.
Publicado: (2024)
por: Purohit, Harsh, et al.
Publicado: (2024)
Timbre Difference Capturing in Anomalous Sound Detection
por: Nishida, Tomoya, et al.
Publicado: (2024)
por: Nishida, Tomoya, et al.
Publicado: (2024)
Can VLM Pseudo-Labels Train a Time-Series QA Model That Outperforms the VLM?
por: Fujimura, Takuya, et al.
Publicado: (2025)
por: Fujimura, Takuya, et al.
Publicado: (2025)
Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
por: Nishida, Tomoya, et al.
Publicado: (2024)
por: Nishida, Tomoya, et al.
Publicado: (2024)
Distributed collaborative anomalous sound detection by embedding sharing
por: Dohi, Kota, et al.
Publicado: (2024)
por: Dohi, Kota, et al.
Publicado: (2024)
Description and Discussion on DCASE 2026 Challenge Task 2: Noise-aware Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
por: Nishida, Tomoya, et al.
Publicado: (2026)
por: Nishida, Tomoya, et al.
Publicado: (2026)
Automatic Inspection Based on Switch Sounds of Electric Point Machines
por: Shibata, Ayano, et al.
Publicado: (2025)
por: Shibata, Ayano, et al.
Publicado: (2025)
Retaining Mixture Representations for Domain Generalized Anomalous Sound Detection
por: Saengthong, Phurich, et al.
Publicado: (2025)
por: Saengthong, Phurich, et al.
Publicado: (2025)
Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?
por: Nagase, Ryotaro, et al.
Publicado: (2024)
por: Nagase, Ryotaro, et al.
Publicado: (2024)
Time Series Language Model for Descriptive Caption Generation
por: Trabelsi, Mohamed, et al.
Publicado: (2025)
por: Trabelsi, Mohamed, et al.
Publicado: (2025)
Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
por: Nishida, Tomoya, et al.
Publicado: (2025)
por: Nishida, Tomoya, et al.
Publicado: (2025)
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
por: Loni, Mohammad, et al.
Publicado: (2024)
por: Loni, Mohammad, et al.
Publicado: (2024)
RingSQL: Generating Synthetic Data with Schema-Independent Templates for Text-to-SQL Reasoning Models
por: Sterbentz, Marko, et al.
Publicado: (2026)
por: Sterbentz, Marko, et al.
Publicado: (2026)
BEDTime: A Unified Benchmark for Automatically Describing Time Series
por: Sen, Medhasweta, et al.
Publicado: (2025)
por: Sen, Medhasweta, et al.
Publicado: (2025)
Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection
por: Ikhwantri, Fariz, et al.
Publicado: (2026)
por: Ikhwantri, Fariz, et al.
Publicado: (2026)
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
por: Liu, Haoxin, et al.
Publicado: (2024)
por: Liu, Haoxin, et al.
Publicado: (2024)
Text2Freq: Learning Series Patterns from Text via Frequency Domain
por: Lo, Ming-Chih, et al.
Publicado: (2024)
por: Lo, Ming-Chih, et al.
Publicado: (2024)
An Automatic Prompt Generation System for Tabular Data Tasks
por: Akella, Ashlesha, et al.
Publicado: (2024)
por: Akella, Ashlesha, et al.
Publicado: (2024)
STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
por: Zhang, Chen, et al.
Publicado: (2026)
por: Zhang, Chen, et al.
Publicado: (2026)
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
por: Leemann, Tobias, et al.
Publicado: (2024)
por: Leemann, Tobias, et al.
Publicado: (2024)
Sparse-Autoencoder-Guided Internal Representation Unlearning for Large Language Models
por: Yamashita, Tomoya, et al.
Publicado: (2025)
por: Yamashita, Tomoya, et al.
Publicado: (2025)
Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment
por: Nayak, Kota Shamanth Ramanath, et al.
Publicado: (2024)
por: Nayak, Kota Shamanth Ramanath, et al.
Publicado: (2024)
Automatic Pull Request Description Generation Using LLMs: A T5 Model Approach
por: Sakib, Md Nazmus, et al.
Publicado: (2024)
por: Sakib, Md Nazmus, et al.
Publicado: (2024)
TextGrad: Automatic "Differentiation" via Text
por: Yuksekgonul, Mert, et al.
Publicado: (2024)
por: Yuksekgonul, Mert, et al.
Publicado: (2024)
Description-Based Text Similarity
por: Ravfogel, Shauli, et al.
Publicado: (2023)
por: Ravfogel, Shauli, et al.
Publicado: (2023)
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
por: Wang, Chengsen, et al.
Publicado: (2024)
por: Wang, Chengsen, et al.
Publicado: (2024)
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition
por: Rossenbach, Nick, et al.
Publicado: (2024)
por: Rossenbach, Nick, et al.
Publicado: (2024)
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
por: Sato, Soma, et al.
Publicado: (2024)
por: Sato, Soma, et al.
Publicado: (2024)
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
por: Kuo, Hsun-Yu, et al.
Publicado: (2024)
por: Kuo, Hsun-Yu, et al.
Publicado: (2024)
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
por: Li, Hao, et al.
Publicado: (2025)
por: Li, Hao, et al.
Publicado: (2025)
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
por: Cao, Defu, et al.
Publicado: (2023)
por: Cao, Defu, et al.
Publicado: (2023)
Stochastic Adversarial Networks for Multi-Domain Text Classification
por: Wang, Xu, et al.
Publicado: (2024)
por: Wang, Xu, et al.
Publicado: (2024)
Domain Gating Ensemble Networks for AI-Generated Text Detection
por: Tripathi, Arihant, et al.
Publicado: (2025)
por: Tripathi, Arihant, et al.
Publicado: (2025)
Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs
por: Zhao, Taibiao, et al.
Publicado: (2025)
por: Zhao, Taibiao, et al.
Publicado: (2025)
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
por: Ye, Jiexia, et al.
Publicado: (2024)
por: Ye, Jiexia, et al.
Publicado: (2024)
Ejemplares similares
-
DiffNator: Generating Structured Explanations of Time-Series Differences
por: Dohi, Kota, et al.
Publicado: (2025) -
Retrieving Time-Series Differences Using Natural Language Queries
por: Dohi, Kota, et al.
Publicado: (2025) -
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision
por: Ito, Aoi, et al.
Publicado: (2024) -
MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection
por: Purohit, Harsh, et al.
Publicado: (2025) -
LaSTR: Language-Driven Time-Series Segment Retrieval
por: Dohi, Kota, et al.
Publicado: (2026)