Imagen de Portada

HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Ziqing, Ding, Kaize
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2024)

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2025)

CrossTune: Black-Box Few-Shot Classification with Label Enhancement
por: Luo, Danqing, et al.
Publicado: (2024)

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
por: Xu, Ruiyao, et al.
Publicado: (2026)

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
por: Chen, Mingda, et al.
Publicado: (2023)

Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
por: Chhikara, Garima, et al.
Publicado: (2024)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
por: Xu, Ruiyao, et al.
Publicado: (2026)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
por: Wang, Ziqing, et al.
Publicado: (2026)

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
por: Wang, Ziqing, et al.
Publicado: (2025)

Explaining Length Bias in LLM-Based Preference Evaluations
por: Hu, Zhengyu, et al.
Publicado: (2024)

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
por: Wang, Shaobo, et al.
Publicado: (2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
por: Lan, Jiayin, et al.
Publicado: (2025)

Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning
por: Azadi, AmirMohammad, et al.
Publicado: (2024)

Conjugate Relation Modeling for Few-Shot Knowledge Graph Completion
por: Wang, Zilong, et al.
Publicado: (2025)

In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
por: Duan, Yifei, et al.
Publicado: (2024)

Multi-Level Correlation Network For Few-Shot Image Classification
por: Dang, Yunkai, et al.
Publicado: (2024)

A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
por: Wang, Ziqing, et al.
Publicado: (2025)

Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
por: Ren, Zhe
Publicado: (2025)

Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language
por: Hadeliya, Tsimur, et al.
Publicado: (2024)

Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification
por: Cegin, Jan, et al.
Publicado: (2024)

Active Few-Shot Learning for Text Classification
por: Ahmadnia, Saeed, et al.
Publicado: (2025)

Few-Shot Graph Out-of-Distribution Detection with LLMs
por: Xu, Haoyan, et al.
Publicado: (2025)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
por: Xie, Kaige, et al.
Publicado: (2023)

Mask-guided BERT for Few Shot Text Classification
por: Liao, Wenxiong, et al.
Publicado: (2023)

Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
por: Park, Gyutae, et al.
Publicado: (2024)

Label-template based Few-Shot Text Classification with Contrastive Learning
por: Hou, Guanghua, et al.
Publicado: (2024)

Exploiting DINOv3-Based Self-Supervised Features for Robust Few-Shot Medical Image Segmentation
por: Xu, Guoping, et al.
Publicado: (2026)

Dual Modality-Aware Gated Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
por: Jana, Soumyadeep, et al.
Publicado: (2025)

Language Model Representations for Efficient Few-Shot Tabular Classification
por: Kang, Inwon, et al.
Publicado: (2026)

Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
por: Basem, Mohamed, et al.
Publicado: (2025)

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion
por: Li, Qian, et al.
Publicado: (2024)

LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering
por: Sutanto, Patrick, et al.
Publicado: (2024)

RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA
por: Zhang, Chao, et al.
Publicado: (2025)

Structured Prompt Optimization for Few-Shot Text Classification via Semantic Alignment in Latent Space
por: Zheng, Jiasen, et al.
Publicado: (2026)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2023)

FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users
por: Singh, Anikait, et al.
Publicado: (2025)

Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
por: Hu, Zhengyu, et al.
Publicado: (2024)

Beyond the Surface: Measuring Self-Preference in LLM Judgments
por: Chen, Zhi-Yuan, et al.
Publicado: (2025)

Manual Verbalizer Enrichment for Few-Shot Text Classification
por: Nguyen, Quang Anh, et al.
Publicado: (2024)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
por: Luo, Junyu, et al.
Publicado: (2024)