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CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting
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GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation
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StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning
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A Comprehensive Survey of the LLM-Based Agent: The Contextual Cognition Perspective
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Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting
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Position: Beyond Model-Centric Prediction — Agentic Time Series Forecasting
Time series forecasting has traditionally been formulated as a model-centric, static, and single-pass prediction problem that maps …
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PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization
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Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs
Graph Neural Networks (GNNs) have been widely used across various fields under the homophily assumption that connected nodes are …
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AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting
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PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature
Understanding and reasoning on the large-scale scientific literature is a crucial touchstone for large language model (LLM) based …
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