5 papers
HTAA: Enhancing LLM Planning via Hybrid Toolset Agentization & Adaptation
Chengrui Huang, Junshuo Zhang, Zhiyuan Ma +7
Enabling large language models to scale and reliably use hundreds of tools is critical for real-world applications, yet challenging due to the inefficiency and error accumulation i…
CommSense: Facilitating Bias-Aware and Reflective Navigation of Online Comments for Rational Judgment
Yang Ouyang, Shenghan Gao, Ruichuan Wang +4
Online comments significantly influence users' judgments, yet their presentation, often determined by platform algorithms, can introduce biases, such as anchoring effects, which di…
SCSimulator: An Exploratory Visual Analytics Framework for Partner Selection in Supply Chains through LLM-driven Multi-Agent Simulation
Shenghan Gao, Junye Wang, Junjie Xiong +5
Supply chains (SCs), complex networks spanning from raw material acquisition to product delivery, with enterprises as interconnected nodes, play a pivotal role in organizational su…
QueryGenie: Making LLM-Based Database Querying Transparent and Controllable
Longfei Chen, Shenghan Gao, Shiwei Wang +3
Conversational user interfaces powered by large language models (LLMs) have significantly lowered the technical barriers to database querying. However, existing tools still encount…
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised Approach
Laixin Xie, Ying Zhang, Xiyuan Wang +6
Influence Maximization (IM) in temporal graphs focuses on identifying influential "seeds" that are pivotal for maximizing network expansion. We advocate defining these seeds throug…