LLaGA: Large Language and Graph Assistant
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Runjin, Zhao, Tong, Jaiswal, Ajay, Shah, Neil, Wang, Zhangyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLaSA: Large Language and Structured Data Assistant
by: Xu, Yao, et al.
Published: (2024)
by: Xu, Yao, et al.
Published: (2024)
LLaMo: Large Language Model-based Molecular Graph Assistant
by: Park, Jinyoung, et al.
Published: (2024)
by: Park, Jinyoung, et al.
Published: (2024)
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs
by: Yin, Lu, et al.
Published: (2023)
by: Yin, Lu, et al.
Published: (2023)
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024)
by: Sun, Guohao, et al.
Published: (2024)
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
by: Perin, Gabriel J., et al.
Published: (2025)
by: Perin, Gabriel J., et al.
Published: (2025)
Towards Neural Scaling Laws on Graphs
by: Liu, Jingzhe, et al.
Published: (2024)
by: Liu, Jingzhe, et al.
Published: (2024)
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations
by: Jaiswal, Ajay, et al.
Published: (2025)
by: Jaiswal, Ajay, et al.
Published: (2025)
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
by: Qin, Zongyue, et al.
Published: (2025)
by: Qin, Zongyue, et al.
Published: (2025)
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
by: Liu, Jingzhe, et al.
Published: (2024)
by: Liu, Jingzhe, et al.
Published: (2024)
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
by: Zhu, Jing, et al.
Published: (2024)
by: Zhu, Jing, et al.
Published: (2024)
MLaGA: Multimodal Large Language and Graph Assistant
by: Fan, Dongzhe, et al.
Published: (2025)
by: Fan, Dongzhe, et al.
Published: (2025)
SpecMD: A Comprehensive Study On Speculative Expert Prefetching
by: Hoang, Duc, et al.
Published: (2026)
by: Hoang, Duc, et al.
Published: (2026)
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
by: Zhang, Jianyi, et al.
Published: (2024)
by: Zhang, Jianyi, et al.
Published: (2024)
IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
by: Li, Yixiao, et al.
Published: (2025)
by: Li, Yixiao, et al.
Published: (2025)
Recurrent Diffusion for Large-Scale Parameter Generation
by: Wang, Kai, et al.
Published: (2025)
by: Wang, Kai, et al.
Published: (2025)
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
by: Chen, Runjin, et al.
Published: (2025)
by: Chen, Runjin, et al.
Published: (2025)
A Pre-training Framework for Relational Data with Information-theoretic Principles
by: Truong, Quang, et al.
Published: (2025)
by: Truong, Quang, et al.
Published: (2025)
Efficient Causal Graph Discovery Using Large Language Models
by: Jiralerspong, Thomas, et al.
Published: (2024)
by: Jiralerspong, Thomas, et al.
Published: (2024)
Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts
by: Wang, Kevin, et al.
Published: (2026)
by: Wang, Kevin, et al.
Published: (2026)
Evolutionary Refinement of Generative Graph Topologies: A Hybrid WGAN-GA Approach
by: Sargant, James, et al.
Published: (2026)
by: Sargant, James, et al.
Published: (2026)
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
by: Jaiswal, Ajay, et al.
Published: (2024)
by: Jaiswal, Ajay, et al.
Published: (2024)
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
by: Huang, Jerry, et al.
Published: (2024)
by: Huang, Jerry, et al.
Published: (2024)
Position: Weight Space Should Be a First-Class Generative AI Modality
by: Wang, Zhangyang, et al.
Published: (2026)
by: Wang, Zhangyang, et al.
Published: (2026)
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
by: Pandit, Shrey, et al.
Published: (2025)
by: Pandit, Shrey, et al.
Published: (2025)
BanglaLlama: LLaMA for Bangla Language
by: Zehady, Abdullah Khan, et al.
Published: (2024)
by: Zehady, Abdullah Khan, et al.
Published: (2024)
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
by: Li, Quan, et al.
Published: (2024)
by: Li, Quan, et al.
Published: (2024)
PIPA: Preference Alignment as Prior-Informed Statistical Estimation
by: Li, Junbo, et al.
Published: (2025)
by: Li, Junbo, et al.
Published: (2025)
LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model
by: Sun, Yirong, et al.
Published: (2025)
by: Sun, Yirong, et al.
Published: (2025)
GraphEdit: Large Language Models for Graph Structure Learning
by: Guo, Zirui, et al.
Published: (2024)
by: Guo, Zirui, et al.
Published: (2024)
Are Large Language Models In-Context Graph Learners?
by: Li, Jintang, et al.
Published: (2025)
by: Li, Jintang, et al.
Published: (2025)
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
by: Wang, Jialiang, et al.
Published: (2024)
by: Wang, Jialiang, et al.
Published: (2024)
Are Large-Language Models Graph Algorithmic Reasoners?
by: Taylor, Alexander K, et al.
Published: (2024)
by: Taylor, Alexander K, et al.
Published: (2024)
Language-Based Bayesian Optimization Research Assistant (BORA)
by: Cissé, Abdoulatif, et al.
Published: (2025)
by: Cissé, Abdoulatif, et al.
Published: (2025)
Large Continual Instruction Assistant
by: Qiao, Jingyang, et al.
Published: (2024)
by: Qiao, Jingyang, et al.
Published: (2024)
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
by: Chen, Zhikai, et al.
Published: (2023)
by: Chen, Zhikai, et al.
Published: (2023)
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)
by: Xia, Mengzhou, et al.
Published: (2023)
Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
by: Song, Haoran, et al.
Published: (2025)
by: Song, Haoran, et al.
Published: (2025)
Test-Time Training on Graphs with Large Language Models (LLMs)
by: Zhang, Jiaxin, et al.
Published: (2024)
by: Zhang, Jiaxin, et al.
Published: (2024)
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
by: Zhao, Jie, et al.
Published: (2025)
by: Zhao, Jie, et al.
Published: (2025)
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
by: Zhang, Mohan, et al.
Published: (2025)
by: Zhang, Mohan, et al.
Published: (2025)
Similar Items
-
LLaSA: Large Language and Structured Data Assistant
by: Xu, Yao, et al.
Published: (2024) -
LLaMo: Large Language Model-based Molecular Graph Assistant
by: Park, Jinyoung, et al.
Published: (2024) -
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs
by: Yin, Lu, et al.
Published: (2023) -
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024) -
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
by: Perin, Gabriel J., et al.
Published: (2025)