Buchumschlag

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Amayuelas, Alfonso, Wong, Kyle, Pan, Liangming, Chen, Wenhu, Wang, William
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Investigating the Transferability of Code Repair for Low-Resource Programming Languages
von: Wong, Kyle, et al.
Veröffentlicht: (2024)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
von: Wang, Xinyi, et al.
Veröffentlicht: (2024)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
von: Zhang, Shuo, et al.
Veröffentlicht: (2023)

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
von: Amayuelas, Alfonso, et al.
Veröffentlicht: (2024)

DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
von: Yoffe, Luke, et al.
Veröffentlicht: (2024)

AKEW: Assessing Knowledge Editing in the Wild
von: Wu, Xiaobao, et al.
Veröffentlicht: (2024)

Unifying Large Language Models and Knowledge Graphs: A Roadmap
von: Pan, Shirui, et al.
Veröffentlicht: (2023)

Exploring Large Language Models for Knowledge Graph Completion
von: Yao, Liang, et al.
Veröffentlicht: (2023)

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
von: Zhuo, Xingrui, et al.
Veröffentlicht: (2025)

Language Models Fail to Introspect About Their Knowledge of Language
von: Song, Siyuan, et al.
Veröffentlicht: (2025)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
von: Zhang, Yifei, et al.
Veröffentlicht: (2024)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
von: Wu, Taiqiang, et al.
Veröffentlicht: (2024)

Knowledge Editing for Large Language Models: A Survey
von: Wang, Song, et al.
Veröffentlicht: (2023)

Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
von: Chen, Yuheng, et al.
Veröffentlicht: (2024)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
von: Wijesiriwardene, Thilini, et al.
Veröffentlicht: (2024)

Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
von: Pan, Liangming, et al.
Veröffentlicht: (2026)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
von: Ding, Wenxuan, et al.
Veröffentlicht: (2023)

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
von: Jia, Boyu, et al.
Veröffentlicht: (2025)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
von: Tu, Shangqing, et al.
Veröffentlicht: (2024)

Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data
von: Wang, Xinyi, et al.
Veröffentlicht: (2024)

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation
von: Amayuelas, Alfonso, et al.
Veröffentlicht: (2026)

Ontology-Enhanced Knowledge Graph Completion using Large Language Models
von: Guo, Wenbin, et al.
Veröffentlicht: (2025)

Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
von: Moore, Kyle, et al.
Veröffentlicht: (2025)

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
von: Yang, Chuanpeng, et al.
Veröffentlicht: (2024)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
von: Wang, Junjie, et al.
Veröffentlicht: (2024)

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
von: Wei, Yanbin, et al.
Veröffentlicht: (2024)

Dual-Space Knowledge Distillation for Large Language Models
von: Zhang, Songming, et al.
Veröffentlicht: (2024)

Large Language Model Enhanced Knowledge Representation Learning: A Survey
von: Wang, Xin, et al.
Veröffentlicht: (2024)

Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
von: Yang, Linyao, et al.
Veröffentlicht: (2024)

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property
von: Wang, Qiyao, et al.
Veröffentlicht: (2025)

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

LEDOM: Reverse Language Model
von: Yin, Xunjian, et al.
Veröffentlicht: (2025)

Cross-Lingual Knowledge Editing in Large Language Models
von: Wang, Jiaan, et al.
Veröffentlicht: (2023)

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
von: Wang, Jiapu, et al.
Veröffentlicht: (2024)

Large Language Model Recall Uncertainty is Modulated by the Fan Effect
von: Roberts, Jesse, et al.
Veröffentlicht: (2024)

K-ON: Stacking Knowledge On the Head Layer of Large Language Model
von: Guo, Lingbing, et al.
Veröffentlicht: (2025)

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
von: Lv, Qitan, et al.
Veröffentlicht: (2024)

Contrastive Learning for Knowledge-Based Question Generation in Large Language Models
von: Zhang, Zhenhong, et al.
Veröffentlicht: (2024)

Identifying Knowledge Editing Types in Large Language Models
von: Li, Xiaopeng, et al.
Veröffentlicht: (2024)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
von: Wang, Haochun, et al.
Veröffentlicht: (2023)