Copertina

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xie, Zhe, Li, Zeyan, He, Xiao, Xu, Longlong, Wen, Xidao, Zhang, Tieying, Chen, Jianjun, Shi, Rui, Pei, Dan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning
di: Si, Haotian, et al.
Pubblicazione: (2026)

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis
di: Pei, Changhua, et al.
Pubblicazione: (2025)

TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
di: Yu, Fangxu, et al.
Pubblicazione: (2025)

SciTS: Scientific Time Series Understanding and Generation with LLMs
di: Wu, Wen, et al.
Pubblicazione: (2025)

Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data
di: Quinlan, Paul, et al.
Pubblicazione: (2025)

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
di: Chang, Ching, et al.
Pubblicazione: (2023)

TimeSense:Making Large Language Models Proficient in Time-Series Analysis
di: Zhang, Zhirui, et al.
Pubblicazione: (2025)

Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning
di: Sun, Yongqian, et al.
Pubblicazione: (2025)

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
di: Xu, Xianghong, et al.
Pubblicazione: (2025)

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
di: Ye, Wen, et al.
Pubblicazione: (2024)

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering
di: Liu, Penghang, et al.
Pubblicazione: (2025)

ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
di: Ye, Hengyu, et al.
Pubblicazione: (2024)

CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
di: Wang, Xiaorui, et al.
Pubblicazione: (2026)

Does Scaling Law Apply in Time Series Forecasting?
di: Li, Zeyan, et al.
Pubblicazione: (2025)

ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution
di: Sun, Hui, et al.
Pubblicazione: (2026)

AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
di: Wang, Rui, et al.
Pubblicazione: (2026)

TS-Debate: Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning
di: Trirat, Patara, et al.
Pubblicazione: (2026)

Thoth: Mid-Training Bridges LLMs to Time Series Understanding
di: Lin, Jiafeng, et al.
Pubblicazione: (2026)

LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
di: Chen, Can, et al.
Pubblicazione: (2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
di: Tang, Hua, et al.
Pubblicazione: (2024)

MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time
di: Kang, Jikun, et al.
Pubblicazione: (2024)

InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities
di: Cai, Shuo, et al.
Pubblicazione: (2025)

ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
di: Xu, Xianghong, et al.
Pubblicazione: (2025)

From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning
di: Ni, Hang, et al.
Pubblicazione: (2026)

TS-HINT: Enhancing Semiconductor Time Series Regression Using Attention Hints From Large Language Model Reasoning
di: Rico, Jonathan Adam, et al.
Pubblicazione: (2025)

Adaptive and Efficient Log Parsing as a Cloud Service
di: Li, Zeyan, et al.
Pubblicazione: (2025)

QuAnTS: Question Answering on Time Series
di: Divo, Felix, et al.
Pubblicazione: (2025)

FlowTS: Time Series Generation via Rectified Flow
di: Hu, Yang, et al.
Pubblicazione: (2024)

TickIt: Leveraging Large Language Models for Automated Ticket Escalation
di: Liu, Fengrui, et al.
Pubblicazione: (2025)

Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement
di: Liu, Fengrui, et al.
Pubblicazione: (2026)

From Time Series Analysis to Question Answering: A Survey in the LLM Era
di: Li, Wei, et al.
Pubblicazione: (2025)

LLMIA: An Out-of-the-Box Index Advisor via In-Context Learning with LLMs
di: Zhao, Xinxin, et al.
Pubblicazione: (2025)

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
di: Lyu, Sisuo, et al.
Pubblicazione: (2026)

NuwaTS: a Foundation Model Mending Every Incomplete Time Series
di: Cheng, Jinguo, et al.
Pubblicazione: (2024)

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
di: Si, Haotian, et al.
Pubblicazione: (2025)

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning
di: Zumarraga, Nicolas, et al.
Pubblicazione: (2026)

STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning
di: Jiang, Yue, et al.
Pubblicazione: (2025)

MMTS-BENCH: A Comprehensive Benchmark for Time Series Understanding and Reasoning
di: Yin, Yao, et al.
Pubblicazione: (2026)

PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series
di: Wang, Jia, et al.
Pubblicazione: (2025)

TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting
di: Niroshan, Ganeshan, et al.
Pubblicazione: (2025)