Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting
cs.AI
Submitted: 2025-05-19
Updated: 2026-10-17
Journal ref: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026, pp. 22165-22180
DOI: 10.18653/v1/2026.acl-long.1014
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems