Imagen de Portada

Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Juncheng, Li, Zuchao, Xie, Shuai, Yu, Wei, Li, Shijun, Du, Bo
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
por: Zheng, Ziyu, et al.
Publicado: (2025)

Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting
por: Wang, Shuai, et al.
Publicado: (2026)

GCoT: Chain-of-Thought Prompt Learning for Graphs
por: Yu, Xingtong, et al.
Publicado: (2025)

DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization
por: Yang, Juncheng, et al.
Publicado: (2024)

Prompt-Based One-Shot Exact Length-Controlled Generation with LLMs
por: Xie, Juncheng, et al.
Publicado: (2025)

Noise-powered Multi-modal Knowledge Graph Representation Framework
por: Chen, Zhuo, et al.
Publicado: (2024)

Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
por: Zhang, Zihong, et al.
Publicado: (2025)

Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction
por: Yang, Lu, et al.
Publicado: (2025)

Sparse is Enough in Fine-tuning Pre-trained Large Language Models
por: Song, Weixi, et al.
Publicado: (2023)

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs
por: Baci, Alkid, et al.
Publicado: (2026)

A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction
por: Sun, Jingyun, et al.
Publicado: (2024)

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
por: Ning, Xuefei, et al.
Publicado: (2023)

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning
por: Chen, Yiqun, et al.
Publicado: (2026)

Multi-modal Auto-regressive Modeling via Visual Words
por: Peng, Tianshuo, et al.
Publicado: (2024)

T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning
por: Wang, Qinsi, et al.
Publicado: (2026)

PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
por: Tsai, Yu-Che, et al.
Publicado: (2026)

From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons
por: Ma, Xiangyu, et al.
Publicado: (2026)

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
por: Ning, Yansong, et al.
Publicado: (2025)

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
por: Tang, Xiaqiang, et al.
Publicado: (2024)

Rethinking Patient Education as Multi-turn Multi-modal Interaction
por: Yao, Zonghai, et al.
Publicado: (2026)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
por: Xia, Yu, et al.
Publicado: (2024)

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
por: Xia, Fei, et al.
Publicado: (2022)

SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
por: Meng, Tao, et al.
Publicado: (2024)

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
por: Luo, Hang, et al.
Publicado: (2025)

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning
por: Wang, Shuai, et al.
Publicado: (2026)

CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
por: Zhang, Bowen, et al.
Publicado: (2023)

SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings
por: SadraeiJavaeri, MohammadAli, et al.
Publicado: (2024)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
por: Feng, Yu, et al.
Publicado: (2024)

Prompting Science Report 2: The Decreasing Value of Chain of Thought in Prompting
por: Meincke, Lennart, et al.
Publicado: (2025)

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
por: Yao, Yao, et al.
Publicado: (2023)

General Purpose Verification for Chain of Thought Prompting
por: Vacareanu, Robert, et al.
Publicado: (2024)

Can Separators Improve Chain-of-Thought Prompting?
por: Park, Yoonjeong, et al.
Publicado: (2024)

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
por: Huang, Chenxi, et al.
Publicado: (2025)

KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning
por: Wang, Shuai, et al.
Publicado: (2026)

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
por: Wen, Yilin, et al.
Publicado: (2023)

RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding
por: Zhang, Zihong, et al.
Publicado: (2026)

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
por: Li, Bowen, et al.
Publicado: (2026)

Enhancing Low-Resource Relation Representations through Multi-View Decoupling
por: Fan, Chenghao, et al.
Publicado: (2023)

Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
por: Shou, Yuntao, et al.
Publicado: (2024)

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
por: Zhu, Kewen, et al.
Publicado: (2026)