4 papers
ReliableRAG: Combating Misinformation in Retrieval-Augmented Generation via Reliability-Guided Reasoning Chains
Jinpu Jiang, Xuan Wu, Wenhao Song +6
Retrieval-Augmented Generation (RAG) has emerged as a powerful architecture for Question Answering (QA) by integrating external information into Large Language Models (LLMs). Howev…
Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
Xuan Wu, Di Wang, Chunguo Wu +5
Numerous Neural Combinatorial Optimization (NCO) solvers have been proposed to address Vehicle Routing Problems (VRPs). However, most of these solvers focus exclusively on single-v…
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Wenhao Song, Xuan Wu, Bo Yang +6
To address the weight coupling problem, certain studies introduced few-shot Neural Architecture Search (NAS) methods, which partition the supernet into multiple sub-supernets. Howe…
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models
Xuan Wu, Di Wang, Chunguo Wu +4
Recent studies exploited Large Language Models (LLMs) to autonomously generate heuristics for solving Combinatorial Optimization Problems (COPs), by prompting LLMs to first provide…