Cover Image

Scale-Free Graph-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Jianglin, Liu, Yixuan, Zhang, Yitian, Fu, Yun
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

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
by: Dong, Qihua, et al.
Published: (2026)

Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)

From Anchors to Supervision: Memory-Graph Guided Corpus-Free Unlearning for Large Language Models
by: Li, Wenxuan, et al.
Published: (2026)

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt
by: Huang, Zhenzhen, et al.
Published: (2026)

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
by: Zhang, Siwei, et al.
Published: (2025)

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning
by: Li, Yutong, et al.
Published: (2025)

PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
by: Choi, Hyeong Kyu, et al.
Published: (2024)

Safety-Aware Fine-Tuning of Large Language Models
by: Choi, Hyeong Kyu, et al.
Published: (2024)

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
by: Liu, Xiaoze, et al.
Published: (2024)

Data Engineering for Scaling Language Models to 128K Context
by: Fu, Yao, et al.
Published: (2024)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
by: Li, Jiazheng, et al.
Published: (2025)

Input Conditioned Graph Generation for Language Agents
by: Vierling, Lukas, et al.
Published: (2024)

Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
by: Medjad, Maya, et al.
Published: (2025)

Large Language Model for Table Processing: A Survey
by: Lu, Weizheng, et al.
Published: (2024)

Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
by: Zhang, Zhongjian, et al.
Published: (2026)

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
by: Gao, Chaochen, et al.
Published: (2024)

Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model
by: Xia, Fei, et al.
Published: (2024)

LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
by: Chen, Xuan, et al.
Published: (2024)

Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
by: Wei, Yifan, et al.
Published: (2024)

Training-Free Activation Sparsity in Large Language Models
by: Liu, James, et al.
Published: (2024)

UGID: Unified Graph Isomorphism for Debiasing Large Language Models
by: Ding, Zikang, et al.
Published: (2026)

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
by: Tang, Jianheng, et al.
Published: (2024)

Logical Reasoning in Large Language Models: A Survey
by: Liu, Hanmeng, et al.
Published: (2025)

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
by: Li, Loka, et al.
Published: (2024)

Scaling Laws of Synthetic Data for Language Models
by: Qin, Zeyu, et al.
Published: (2025)

End-to-End Graph Flattening Method for Large Language Models
by: Hong, Bin, et al.
Published: (2024)

Trajectory Prediction Meets Large Language Models: A Survey
by: Xu, Yi, et al.
Published: (2025)

Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
by: Kim, Daehee, et al.
Published: (2024)

KunlunBaize: LLM with Multi-Scale Convolution and Multi-Token Prediction Under TransformerX Framework
by: Li, Cheng, et al.
Published: (2025)

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
by: Yan, Jianhao, et al.
Published: (2024)

Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
by: Liu, Junhua, et al.
Published: (2024)

SEAL: Steerable Reasoning Calibration of Large Language Models for Free
by: Chen, Runjin, et al.
Published: (2025)

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors
by: Zhou, Yitian, et al.
Published: (2026)

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models
by: Li, Jijie, et al.
Published: (2025)

Causal-Guided Active Learning for Debiasing Large Language Models
by: Du, Li, et al.
Published: (2024)

Process Reward Model with Q-Value Rankings
by: Li, Wendi, et al.
Published: (2024)

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
by: Luo, Zihan, et al.
Published: (2024)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
by: Liu, Xukai, et al.
Published: (2024)

How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance
by: Heim, Desiree, et al.
Published: (2025)