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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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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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From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation
Logical reasoning is a core challenge in natural language understanding and a fundamental capability of artificial intelligence, …
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STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models
Table reasoning with large language models (LLMs) plays a critical role in building intelligent systems capable of understanding and …
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Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
Search-based recommendation is one of the most critical application scenarios in e-commerce platforms. Users’ complex search …
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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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MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
The primary form of user-internet engagement is shifting from leveraging implicit feedback signals, such as browsing and clicks, to …
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Preference Trajectory Modeling via Flow Matching for Sequential Recommendation
Sequential recommendation predicts each user’s next item based on their historical interaction sequence. Recently, diffusion …
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Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables
With the widespread application of multimodal large language models in scientific intelligence, there is an urgent need for more …
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Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
Logical reasoning with large language models (LLMs) has received growing attention. One mainstream approach translates natural language …
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