Cover Image

Large Language Models as a Tool for Mining Object Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	An, Hannah YoungEun, Schubert, Lenhart K.
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Language Models Benefit from Preparation with Elicited Knowledge
by: Yu, Jiacan, et al.
Published: (2024)

MultiMUC: Multilingual Template Filling on MUC-4
by: Gantt, William, et al.
Published: (2024)

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
by: Luo, Linhao, et al.
Published: (2023)

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
by: Mishra, Aditi, et al.
Published: (2023)

ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024)

ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models
by: Cheng, Zihao, et al.
Published: (2025)

Learning Evolving Tools for Large Language Models
by: Chen, Guoxin, et al.
Published: (2024)

Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
by: Tan, Yanchao, et al.
Published: (2024)

Task-Aligned Tool Recommendation for Large Language Models
by: Gao, Hang, et al.
Published: (2024)

Tool Learning with Large Language Models: A Survey
by: Qu, Changle, et al.
Published: (2024)

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

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models
by: Yu, Beibei, et al.
Published: (2024)

DeepJSONEval: Benchmarking Complex Nested JSON Data Mining for Large Language Models
by: Zhou, Zhicheng, et al.
Published: (2025)

Combining Knowledge Graphs and Large Language Models
by: Kau, Amanda, et al.
Published: (2024)

Benchmarking the Pedagogical Knowledge of Large Language Models
by: Lelièvre, Maxime, et al.
Published: (2025)

Meta-Reasoning Improves Tool Use in Large Language Models
by: Alazraki, Lisa, et al.
Published: (2024)

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

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
by: Amayuelas, Alfonso, et al.
Published: (2023)

Large Language Models as Tool Makers
by: Cai, Tianle, et al.
Published: (2023)

Synthetic Data Generation for Phrase Break Prediction with Large Language Model
by: Lee, Hoyeon, et al.
Published: (2025)

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
by: Ye, Junjie, et al.
Published: (2024)

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)

TnT-LLM: Text Mining at Scale with Large Language Models
by: Wan, Mengting, et al.
Published: (2024)

ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
by: Yang, Shuting, et al.
Published: (2024)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
by: Xu, Qiancheng, et al.
Published: (2024)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)

Re-Initialization Token Learning for Tool-Augmented Large Language Models
by: Li, Chenghao, et al.
Published: (2025)

TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)

PEToolLLM: Towards Personalized Tool Learning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2025)

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

UNLEARN Efficient Removal of Knowledge in Large Language Models
by: Lizzo, Tyler, et al.
Published: (2024)

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

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

Disentangling Reasoning and Knowledge in Medical Large Language Models
by: Thapa, Rahul, et al.
Published: (2025)

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

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

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

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

LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
by: Li, Dongheng, et al.
Published: (2024)

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model
by: Yoon, Seungri, et al.
Published: (2025)