2 citations · 5 across the 4 of their papers we have counts for
4 papers
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs
Ben Liu, Jihai Zhang, Fangquan Lin +3
Recent advancements have highlighted that Large Language Models (LLMs) are prone to hallucinations when solving complex reasoning problems, leading to erroneous results. To tackle…
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
Ben Liu, Jihai Zhang, Fangquan Lin +2
Large Language Models (LLMs) present massive inherent knowledge and superior semantic comprehension capability, which have revolutionized various tasks in natural language processi…
Solving General Natural-Language-Description Optimization Problems with Large Language Models
Jihai Zhang, Wei Wang, Siyan Guo +4
Optimization problems seek to find the best solution to an objective under a set of constraints, and have been widely investigated in real-world applications. Modeling and solving…
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution
Fangquan Lin, Wei Jiang, Hanwei Zhang +1
KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic wind power dataset, in which the participants are required to predict the future generation given the histor…