Imagen de Portada

Graph-based Confidence Calibration for Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Yukun, Wang, Sijia, Huang, Lifu, Liu, Li-Ping
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Navigating Ideation Space: Decomposed Conceptual Representations for Positioning Scientific Ideas
por: Shen, Yuexi, et al.
Publicado: (2026)

Advancing Chart Question Answering with Robust Chart Component Recognition
por: Zheng, Hanwen, et al.
Publicado: (2024)

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
por: Yang, Tiannuo, et al.
Publicado: (2025)

Retrieval meets Long Context Large Language Models
por: Xu, Peng, et al.
Publicado: (2023)

On Bilingual Lexicon Induction with Large Language Models
por: Li, Yaoyiran, et al.
Publicado: (2023)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
por: Feng, Jie, et al.
Publicado: (2024)

Large Language Models are Learnable Planners for Long-Term Recommendation
por: Shi, Wentao, et al.
Publicado: (2024)

HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research
por: Kulkarni, Prerana Sanjay, et al.
Publicado: (2024)

Uncertainty-Aware Explainable Recommendation with Large Language Models
por: Peng, Yicui, et al.
Publicado: (2024)

Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
por: Zhuang, Jun, et al.
Publicado: (2024)

SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation
por: Liu, Hao, et al.
Publicado: (2026)

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
por: Zhang, Jiaxin, et al.
Publicado: (2024)

UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
por: Fang, Yi, et al.
Publicado: (2024)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
por: Peng, Zhiyuan, et al.
Publicado: (2023)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
por: Xu, Ran, et al.
Publicado: (2024)

Language is All a Graph Needs
por: Ye, Ruosong, et al.
Publicado: (2023)

The Factuality of Large Language Models in the Legal Domain
por: Hamdani, Rajaa El, et al.
Publicado: (2024)

Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
por: Xu, Austin, et al.
Publicado: (2024)

Unified Hallucination Detection for Multimodal Large Language Models
por: Chen, Xiang, et al.
Publicado: (2024)

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
por: Mo, Belinda, et al.
Publicado: (2025)

LORE: A Large Generative Model for Search Relevance
por: Lu, Chenji, et al.
Publicado: (2025)

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2025)

PaCE: Parsimonious Concept Engineering for Large Language Models
por: Luo, Jinqi, et al.
Publicado: (2024)

News Recommendation with Category Description by a Large Language Model
por: Yada, Yuki, et al.
Publicado: (2024)

GenRec: Generative Sequential Recommendation with Large Language Models
por: Cao, Panfeng, et al.
Publicado: (2024)

Delta Activations: A Representation for Finetuned Large Language Models
por: Xu, Zhiqiu, et al.
Publicado: (2025)

OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
por: Qiang, Zhangcheng, et al.
Publicado: (2025)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
por: Peng, Zhiyuan, et al.
Publicado: (2024)

Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications
por: Lin, Ethan, et al.
Publicado: (2024)

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
por: Shi, Zhan, et al.
Publicado: (2025)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
por: Qiu, Yifu, et al.
Publicado: (2025)

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
por: Baek, Jinheon, et al.
Publicado: (2023)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
por: Zhang, Lingxi, et al.
Publicado: (2024)

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
por: Qiao, Shuofei, et al.
Publicado: (2026)

Editing Conceptual Knowledge for Large Language Models
por: Wang, Xiaohan, et al.
Publicado: (2024)

CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models
por: Zhou, Wei, et al.
Publicado: (2025)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
por: Nigam, Shubham Kumar, et al.
Publicado: (2024)

MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning
por: Davis, Joshua, et al.
Publicado: (2025)

Automating Steering for Safe Multimodal Large Language Models
por: Wu, Lyucheng, et al.
Publicado: (2025)

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
por: Sachdev, Jayant, et al.
Publicado: (2025)