Cover Image

Enhance Graph Alignment for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Haitong, Meng, Xuying, Wang, Suhang, Zhao, Tianxiang, Wang, Fali, Cao, Hanyun, Zhang, Yujun
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
by: Jin, Bowen, et al.
Published: (2024)

GPR: Empowering Generation with Graph-Pretrained Retriever
by: Wang, Xiaochen, et al.
Published: (2025)

Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)

Aligning the Spectrum: Hybrid Graph Pre-training and Prompt Tuning across Homophily and Heterophily
by: Luo, Haitong, et al.
Published: (2025)

Enhancing Lexicon-Based Text Embeddings with Large Language Models
by: Lei, Yibin, et al.
Published: (2025)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
by: Li, Yuhan, et al.
Published: (2025)

Enhancing Content-based Recommendation via Large Language Model
by: Xu, Wentao, et al.
Published: (2024)

Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
by: Steinigen, Daniel, et al.
Published: (2024)

URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
by: Nguyen, Vinh, et al.
Published: (2026)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)

Dual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language Model
by: Huang, Zhe, et al.
Published: (2026)

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
by: Chen, Zhongpu, et al.
Published: (2025)

Graph Fusion Across Languages using Large Language Models
by: Kyaw, Kaung Myat, et al.
Published: (2026)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
by: Wang, Xiaolei, et al.
Published: (2023)

Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)

Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
by: Cao, Bin, et al.
Published: (2026)

Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

DocGraphLM: Documental Graph Language Model for Information Extraction
by: Wang, Dongsheng, et al.
Published: (2024)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
by: Mo, Fengran, et al.
Published: (2025)

Generative Multi-Modal Knowledge Retrieval with Large Language Models
by: Long, Xinwei, et al.
Published: (2024)

ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
by: Sengupta, Saptarshi, et al.
Published: (2025)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
by: Ren, Ruiyang, et al.
Published: (2023)

ClarifyMT-Bench: Benchmarking and Improving Multi-Turn Clarification for Conversational Large Language Models
by: Luo, Sichun, et al.
Published: (2025)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

Corpus-Steered Query Expansion with Large Language Models
by: Lei, Yibin, et al.
Published: (2024)

Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
by: AlMahri, Sara, et al.
Published: (2024)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024)

Large Language Models for Stemming: Promises, Pitfalls and Failures
by: Wang, Shuai, et al.
Published: (2024)

Learning to Retrieve In-Context Examples for Large Language Models
by: Wang, Liang, et al.
Published: (2023)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
by: Wang, Yuqi, et al.
Published: (2024)

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
by: Chen, Tingyu, et al.
Published: (2026)

LITE: LLM-Impelled efficient Taxonomy Evaluation
by: Zhang, Lin, et al.
Published: (2025)

LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
by: Man, Hieu, et al.
Published: (2025)

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
by: Ren, Ruiyang, et al.
Published: (2024)

Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
by: Vladika, Juraj, et al.
Published: (2024)

Can We Use Large Language Models to Fill Relevance Judgment Holes?
by: Abbasiantaeb, Zahra, et al.
Published: (2024)

Improving Text Embeddings with Large Language Models
by: Wang, Liang, et al.
Published: (2023)