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- From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
- StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning
- A Comprehensive Survey of the LLM-Based Agent: The Contextual Cognition Perspective
- From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation
- Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
- CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting
- PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization
- Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
- PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature
- MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
- Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
- TimeDART: A Diffusion Autoregressive Transformer for Self-supervised Time Series Representation
- A Comprehensive Survey of Time Series Forecasting: Concepts, Challenges, and Future Directions
- A Survey on Knowledge-Oriented Retrieval-Augmented Generation
- Revisiting the Solution of Meta KDD Cup 2024: CRAG