Cover Image

InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Faez, Faezeh, Tahaei, Marzieh S., Hu, Yaochen, Pourranjbar, Ali, Biparva, Mahdi, Coates, Mark, Zhang, Yingxue
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
by: Biparva, Mahdi, et al.
Published: (2024)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs
by: Alomrani, Mohammad Ali, et al.
Published: (2022)

MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
by: Faez, Faezeh, et al.
Published: (2024)

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
by: Karimi, Raika, et al.
Published: (2024)

ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
by: Naseri, Mahdi, et al.
Published: (2024)

Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
by: Gu, Hongjian, et al.
Published: (2023)

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
by: Aghaei, Matin, et al.
Published: (2025)

Scalable Graph Self-Supervised Learning
by: Pasand, Ali Saheb, et al.
Published: (2024)

Graph Knowledge Distillation to Mixture of Experts
by: Rumiantsev, Pavel, et al.
Published: (2024)

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
by: Zhou, Jiaming, et al.
Published: (2024)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
by: Wang, Yuening, et al.
Published: (2024)

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference
by: Pal, Soumyasundar, et al.
Published: (2025)

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
by: Valkanas, Antonios, et al.
Published: (2025)

E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
by: Zhang, Ge, et al.
Published: (2025)

WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization
by: Pasand, Ali Saheb, et al.
Published: (2024)

Plain Transformers Can be Powerful Graph Learners
by: Ma, Liheng, et al.
Published: (2025)

Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
by: Zhang, Ge, et al.
Published: (2024)

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
by: Rajabzadeh, Hossein, et al.
Published: (2024)

CKGConv: General Graph Convolution with Continuous Kernels
by: Ma, Liheng, et al.
Published: (2024)

FEval-TTC: Fair Evaluation Protocol for Test-Time Compute
by: Rumiantsev, Pavel, et al.
Published: (2025)

Refining Answer Distributions for Improved Large Language Model Reasoning
by: Pal, Soumyasundar, et al.
Published: (2024)

A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
by: Cotnareanu, Joseph, et al.
Published: (2026)

Personalized Negative Reservoir for Incremental Learning in Recommender Systems
by: Valkanas, Antonios, et al.
Published: (2024)

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference
by: Kavehzadeh, Parsa, et al.
Published: (2023)

One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
by: Huang, Jinbang, et al.
Published: (2025)

Cost and Complexity as Barriers to RTLS Adoption in SMEs: A Survey and Analysis
by: Moeini, Peyman, et al.
Published: (2025)

Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
by: Rumiantsev, Pavel, et al.
Published: (2025)

EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
by: Dehghan, Mohammad, et al.
Published: (2024)

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers
by: Sharma, Aman, et al.
Published: (2025)

SortedNet: A Scalable and Generalized Framework for Training Modular Deep Neural Networks
by: Valipour, Mojtaba, et al.
Published: (2023)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
by: Zhang, Zhanguang, et al.
Published: (2024)

Cell divisions suppress dynamical correlations in solid tissues
by: Tahaei, Ali, et al.
Published: (2026)

Multi-resolution Time-Series Transformer for Long-term Forecasting
by: Zhang, Yitian, et al.
Published: (2023)

InnerThoughts: Disentangling Representations and Predictions in Large Language Models
by: Chételat, Didier, et al.
Published: (2025)

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers
by: Jafari, Aref, et al.
Published: (2025)

HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
by: Cotnareanu, Joseph, et al.
Published: (2024)

Synthesis of MgZnAl Layered Triple Hydroxide Nanoplates as an Efficient Adsorbent for Removing the Acid Yellow 76 Azo Dye
by: Sayed Yahya Kazemi, et al.
Published: (2024)

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
by: Huang, Jinbang, et al.
Published: (2025)

Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance
by: Naser-Moghadasi, Mahdi, et al.
Published: (2026)