Cover Image

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Chenxi, Li, Hongyan, Li, Yaliang, Hong, Shenda
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Review of Data-centric Time Series Analysis from Sample, Feature, and Period
by: Sun, Chenxi, et al.
Published: (2024)

SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
by: Mei, Shuhao, et al.
Published: (2025)

Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions
by: Li, Zhiwen, et al.
Published: (2025)

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

From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MARKERGEN
by: Yuan, Peiwen, et al.
Published: (2025)

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
by: Lan, Xiang, et al.
Published: (2025)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
by: Liu, Chenxi, et al.
Published: (2024)

Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
by: Li, Shiyu, et al.
Published: (2025)

JE-IRT: A Geometric Lens on LLM Abilities through Joint Embedding Item Response Theory
by: Yao, Louie Hong, et al.
Published: (2025)

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
by: Li, Fengze, et al.
Published: (2025)

Towards Anthropomorphic Conversational AI Part I: A Practical Framework
by: Wei, Fei, et al.
Published: (2025)

Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)

Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by: Gao, Kuofeng, et al.
Published: (2024)

Improving LLM Abilities in Idiomatic Translation
by: Donthi, Sundesh, et al.
Published: (2024)

GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents
by: Costarelli, Anthony, et al.
Published: (2024)

Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs
by: Wei, Fei, et al.
Published: (2025)

On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
by: Liu, Yule, et al.
Published: (2024)

Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024)

LLM-as-a-Judge for Time Series Explanations
by: Sivalingam, Preetham, et al.
Published: (2026)

Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
by: Wen, Ximing
Published: (2024)

AnglE-optimized Text Embeddings
by: Li, Xianming, et al.
Published: (2023)

LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)

Advancing Interpretability in Text Classification through Prototype Learning
by: Wei, Bowen, et al.
Published: (2024)

LETS-C: Leveraging Text Embedding for Time Series Classification
by: Kaur, Rachneet, et al.
Published: (2024)

I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation
by: Wu, Cheng-Kuang, et al.
Published: (2024)

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
by: Zou, Deyu, et al.
Published: (2025)

SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications
by: Lansiaux, Edouard, et al.
Published: (2025)

QIME: Constructing Interpretable Medical Text Embeddings via Ontology-Grounded Questions
by: Tang, Yixuan, et al.
Published: (2026)

Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
by: Yeh, Samuel, et al.
Published: (2025)

MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
by: Ye, Jiexia, et al.
Published: (2024)

Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)
by: Zhan, Tong, et al.
Published: (2024)

Investigating Large Language Models' Linguistic Abilities for Text Preprocessing
by: Braga, Marco, et al.
Published: (2025)

Copy-Paste to Mitigate Large Language Model Hallucinations
by: Long, Yongchao, et al.
Published: (2025)

Evaluating Causal Explanation in Medical Reports with LLM-Based and Human-Aligned Metrics
by: Cho, Yousang, et al.
Published: (2025)

Knowledge Graph-Guided Retrieval Augmented Generation
by: Zhu, Xiangrong, et al.
Published: (2025)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
by: Bai, Jiamu, et al.
Published: (2024)

Split and Merge: Aligning Position Biases in LLM-based Evaluators
by: Li, Zongjie, et al.
Published: (2023)

BoRP: Bootstrapped Regression Probing for Scalable and Human-Aligned LLM Evaluation
by: Sun, Peng, et al.
Published: (2026)

PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
by: Tsai, Yu-Che, et al.
Published: (2026)

StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text
by: Gu, Zhouhong, et al.
Published: (2024)